Best-Papers-Top-Venues

This repository contains the recent best or outstanding papers in contemporary top venues like CVPR, NeurIPS, ICCV, ECCV, ICLR, ICML, BMVC, WACV, and AAAI.

Contents

• CVPR (2013-2024)
• ICLR (2016-2024)
• NeurIPS (2013-2024)
• ICCV (2013-2023)
• ICML (2018-2024)
• ECCV (2014-2024)
• AAAI (2020-2024)
• WACV (2020-2024)
• BMVC (2020-2022)
• Test of Time Papers

CVPR

Best Papers 2024 [Best Papers] [All Papers]

Best Paper Award:

• Generative Image Dynamics (CVPR 2024) [Paper]
  Authors: Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski

• Rich Human Feedback for Text-to-Image Generation (CVPR 2024) [Paper]
  Authors: Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, and Vidhya Navalpakkam

Best Paper Honorable Mention:

• EventPS: Real-Time Photometric Stereo Using an Event Camera (CVPR 2024) [Paper]
  Authors: Bohan Yu, Jieji Ren, Jin Han, Feishi Wang, Jinxiu Liang, Boxin Shi

• pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction (CVPR 2024) [Paper]
  Authors: David Charatan, Sizhe Li, Andrea Tagliasacchi, Vincent Sitzmann

Best Student Paper Award:

• Mip-Splatting: Alias-free 3D Gaussian Splatting (CVPR 2024) [Paper]
  Authors: Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger

• BIOCLIP: A Vision Foundation Model for the Tree of Life (CVPR 2024) [Paper]
  Authors: Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, and Yu Su

Best Student Paper Honorable Mention:

• SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency (CVPR 2024) [Paper]
  Authors: Paul Roetzer, Florian Bernard

• Objects as volumes: A stochastic geometry view of opaque solids (CVPR 2024) [Paper]
  Authors: Bailey Miller, Hanyu Chen, Alice Lai, Ioannis Gkioulekas

• Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods (CVPR 2024) [Paper]
  Authors: Mingqi Jiang, Saeed Khorram, Li Fuxin

Longuet-Higgins Prize (Test of Time):

• Rich feature hierarchies for accurate object detection and semantic segmentation (CVPR 2014) [Paper]
  Authors: Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

Best Papers 2023 [Best Papers] [All Papers]

Best Paper Award:

• Visual Programming: Compositional visual reasoning without training (CVPR 2023) [Paper]
  Authors: Tanmay Gupta, Aniruddha Kembhavi

• Planning-oriented Autonomous Driving (CVPR 2023) [Paper]
  Authors: Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li

Best Paper Honorable Mention:

• DynIBaR: Neural Dynamic Image-Based Rendering (CVPR 2023) [Paper]
  Authors: Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely

Best Student Paper Award:

• 3D Registration with Maximal Cliques (CVPR 2023) [Paper]
  Authors: Xiyu Zhang, Jiaqi Yang, Shikun Zhang, Yanning Zhang

Best Student Paper Honorable Mention:

• DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation (CVPR 2023) [Paper]
  Authors: Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman

Award Candidates:

• Ego-Body Pose Estimation via Ego-Head Pose Estimation (CVPR 2023) [Paper]
  Authors: Jiaman Li, Karen Liu, Jiajun Wu

• OmniObject3D: Large Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation (CVPR 2023) [Paper]
  Authors: Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu

• MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures (CVPR 2023) [Paper]
  Authors: Zhiqin Chen, Thomas Funkhouser, Peter Hedman, Andrea Tagliasacchi

• On Distillation of Guided Diffusion Models (CVPR 2023) [Paper]
  Authors: Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

• What Can Human Sketches Do for Object Detection? (CVPR 2023) [Paper]
  Authors: Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song

• Data-driven Feature Tracking for Event Cameras (CVPR 2023) [Paper]
  Authors: Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza

• Integral Neural Networks (CVPR 2023) [Paper]
  Authors: Kirill Solodskikh, Azim Kurbanov, Ruslan Aydarkhanov, Irina Zhelavskaya, Yury Parfenov, Dehua Song, Stamatios Lefkimmiatis

Longuet-Higgins Prize (Test of Time):

• Online Object Tracking: A Benchmark (CVPR 2013) [Paper]
  Authors: Yi Wu, Jongwoo Lim, Ming-Hsuan Yang

Best Papers 2022 [Best Papers] [All Papers]

Best Paper Award:

• Learning to Solve Hard Minimal Problems (CVPR 2022) [Paper]
  Authors: Petr Hruby, Timothy Duff, Anton Leykin, and Tomas Pajdla

Best Paper Honorable Mention:

• Dual-Shutter Optical Vibration Sensing (CVPR 2022) [Paper]
  Authors: Mark Sheinin, Dorian Chan, Matthew O'Toole, Srinivasa Narasimhan

Best Student Paper Award:

• EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation (CVPR 2022) [Paper]
  Authors: Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li

Best Student Paper Honorable Mention:

• Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields (CVPR 2022) [Paper]
  Authors: Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan Barron, Pratul Srinivasan

Longuet-Higgins Prize (Test of Time):

• Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite (CVPR 2012) [Paper]
  Authors: Andreas Geiger, Philip Lenz, Raquel Urtasun

Best Papers 2021 [Best Papers] [All Papers]

Best Paper Award:

• GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields (CVPR 2021) [Paper]
  Authors: Michael Niemeyer, Andreas Geiger

Best Paper Honorable Mention:

• Exploring Simple Siamese Representation Learning (CVPR 2021) [Paper]
  Authors: Xinlei Chen, Kaiming He

• Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos (CVPR 2021) [Paper]
  Authors: Yasamin Jafarian, Hyun Soo Park

Best Student Paper Award:

• Task Programming: Learning Data Efficient Behavior Representations (CVPR 2021) [Paper]
  Authors: Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona

Best Student Paper Honorable Mention:

• Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling (CVPR 2021) [Paper]
  Authors: Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu

• Binary TTC: A Temporal Geofence for Autonomous Navigation (CVPR 2021) [Paper]
  Authors: Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen

• Real-Time High-Resolution Background Matting (CVPR 2021) [Paper]
  Authors: Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta, Brian Curless, Steve Seitz, Ira Kemelmacher-Shlizerman

Longuet-Higgins Prize (Test of Time):

• Real-time human pose recognition in parts from single depth image (CVPR 2011) [Paper]
  Authors: Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake

• Baby talk: Understanding and generating simple image descriptions (CVPR 2011) [Paper]
  Authors: Girish Kulkarni, Visruth Premraj, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C Berg, Tamara L Berg

Best Papers 2020 [Best Papers] [All Papers]

Best Paper Award:

• Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (CVPR 2020) [Paper]
  Authors: Shangzhe Wu (University of Oxford); Christian Rupprecht (University of Oxford); Andrea Vedaldi (Oxford University)*

Best Student Paper Award:

• BSP-Net: Generating Compact Meshes via Binary Space Partitioning (CVPR 2020) [Paper]
  Authors: Zhiqin Chen (Simon Fraser University); Andrea Tagliasacchi (Google Inc.); Hao Zhang (Simon Fraser University)

Best Student Paper Honorable Mention:

• DeepCap: Monocular Human Performance Capture Using Weak Supervision (CVPR 2020) [Paper]
  Authors: Marc Habermann (Max Planck Institute for Informatics); Weipeng Xu (MPII); Michael Zollhöfer (Facebook Reality Labs); Gerard Pons-Moll (MPII, Germany); Christian Theobalt (MPI Informatik)*

Longuet-Higgins Prize (Test of Time):

• Secrets of Optical Flow Estimation and Their Principles (CVPR 2010) [Paper]
  Authors: Deqing Sun, Stefan Roth, Michael J. Black

Best Papers 2019 [Best Papers] [All Papers]

Best Paper Award:

• A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction (CVPR 2019) [Paper]
  Authors: Shumian Xin, Sotiris Nousias, Kyros Kutulakos, Aswin Sankaranarayanan, Srinivasa G. Narasimhan and Ioannis Gkioulekas

Best Paper Honorable Mention:

• A Style-Based Generator Architecture for Generative Adversarial Networks (CVPR 2019) [Paper]
  Authors: Tero Karras, Samuli Laine and Timo Aila

• Learning the Depths of Moving People by Watching Frozen People (CVPR 2019) [Paper]
  Authors: Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Ce Liu, Bill Freeman and Noah Snavely

Best Student Paper Award:

• Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation (CVPR 2019) [Paper]
  Authors: Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang and Lei Zhang

Longuet-Higgins Prize (Test of Time):

• ImageNet: A large-scale hierarchical image database (CVPR 2009) [Paper]
  Authors: Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li and Li Fei-Fei

Best Papers 2018 [Best Papers] [All Papers]

Best Paper Award:

• Taskonomy: Disentangling Task Transfer Learning (CVPR 2018) [Paper]
  Authors: Amir Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Malik, Silvio Savarese

Best Paper Honorable Mention:

• Deep Learning of Graph Matching (CVPR 2018) [Paper]
  Authors: Andrei Zanfir, Cristian Sminchisescu

• SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR 2018) [Paper]
  Authors: Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz

• CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM (CVPR 2018) [Paper]
  Authors: Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison

• Efficient Optimization for Rank-based Loss Functions (CVPR 2018) [Paper]
  Authors: Pritish Mohapatra, Michal Rolinek, C.V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar

Best Student Paper Award:

• Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies (CVPR 2018) [Paper]
  Authors: Hanbyul Joo, Tomas Simon, Yaser Sheikh

Longuet-Higgins Prize (Test of Time):

• A Discriminatively Trained, Multiscale, Deformable Part Model (CVPR 2008) [Paper]
  Authors: Pedro Felzenszwalb, David McAllester, Deva Ramanan

Best Papers 2017 [Best Papers] [All Papers]

Best Paper Award:

• Densely Connected Convolutional Networks (CVPR 2017) [Paper]
  Authors: Gao Huang, Zhuang Liu, Laurens van der Maaten, & Kilian Q. Weinberger

• Learning from Simulated and Unsupervised Images through Adversarial Training (CVPR 2017) [Paper]
  Authors: Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, & Russell Webb

Best Paper Honorable Mention:

• Annotating Object Instances with a Polygon-RNN (CVPR 2017) [Paper]
  Authors: Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, & Sanja Fidler

• YOLO9000: Better, Faster, Stronger (CVPR 2017) [Paper]
  Authors: Joseph Redmon & Ali Farhadi

Best Student Paper Award:

• Computational Imaging on the Electric Grid (CVPR 2017) [Paper]
  Authors: Mark Sheinin, Yoav Y. Schechner, & Kiriakos N. Kutulakos

Longuet-Higgins Prize (Test of Time):

• Accurate, Dense, and Robust Multi-View Stereopsis (CVPR 2007) [Paper]
  Authors: Yasutaka Furukawa, Jean Ponce

• Object Retrieval with Large Vocabularies and Fast Spatial Matching (CVPR 2007) [Paper]
  Authors: James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman

Best Papers 2016 [Best Papers] [All Papers]

Best Paper Award:

• Deep Residual Learning for Image Recognition (CVPR 2016) [Paper]
  Authors: Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Best Paper Honorable Mention:

• Sublabel-Accurate Relaxation of Nonconvex Energies (CVPR 2016) [Paper]
  Authors: Thomas Möllenhoff, Emanuel Laude, Michael Moeller, Jan Lellmann, Daniel Cremers

Best Student Paper Award:

• Structural-RNN: Deep Learning on Spatio-Temporal Graphs (CVPR 2016) [Paper]
  Authors: Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena

Longuet-Higgins Prize (Test of Time):

• Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories (CVPR 2006) [Paper]
  Authors: S. Lazebnik, C. Schmid, J. Ponce

• Scalable Recognition with a Vocabulary Tree (CVPR 2006) [Paper]
  Authors: D. Nister, H. Stewenius

Best Papers 2015 [Best Papers] [All Papers]

Best Paper Award:

• DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time (CVPR 2015) [Paper]
  Authors: Richard A. Newcombe, Dieter Fox, Steven M. Seitz

Best Paper Honorable Mention:

• Efficient Globally Optimal Consensus Maximisation with Tree Search (CVPR 2015) [Paper]
  Authors: Tat-Jun Chin, Pulak Purkait, Anders Eriksson, David Suter

• Fully Convolutional Networks for Semantic Segmentation (CVPR 2015) [Paper]
  Authors: Jonathan Long, Evan Shelhamer, Trevor Darrell

• Picture: A Probabilistic Programming Language for Scene Perception (CVPR 2015) [Paper]
  Authors: Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka

Best Student Paper Award:

• Category-Specific Object Reconstruction from a Single Image (CVPR 2015) [Paper]
  Authors: Abhishek Kar, Shubham Tulsiani, Joao Carreira, Jitendra Malik

Longuet-Higgins Prize (Test of Time):

• Histograms of oriented gradients for human detection (CVPR 2005) [Paper]
  Authors: N. Dalal, B. Triggs

• A non-local algorithm for image denoising (CVPR 2005) [Paper]
  Authors: A. Buades, B. Coll, J.-M. Morel

Best Papers 2014 [Best Papers] [All Papers]

Best Paper Award:

• What Camera Motion Reveals About Shape with Unknown BRDF (CVPR 2014) [Paper]
  Authors: Manmohan Chandraker

Best Paper Honorable Mention:

• 3D Shape and Indirect Appearance by Structured Light Transport (CVPR 2014) [Paper]
  Authors: Matthew O'Toole, John Mather, Kiriakos N. Kutulakos

Best Student Paper Award:

• Partial Optimality by Pruning for MAP-inference with General Graphical Models (CVPR 2014) [Paper]
  Authors: Paul Swoboda, Bogdan Savchynskyy, Jorg H. Kappes, Christoph Schnorr

Longuet-Higgins Prize (Test of Time):

• A performance evaluation of local descriptors (CVPR 2004) [Paper]
  Authors: K. Mikolajczyk, C. Schmid

Best Papers 2013 [Best Papers] [All Papers]

Best Paper Award:

• Fast, Accurate Detection of 100,000 Object Classes on a Single Machine (CVPR 2013) [Paper]
  Authors: Thomas Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

Best Paper Honorable Mention:

• Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization (CVPR 2013) [Paper]
  Authors: Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun

Best Student Paper Award:

• Discriminative Non-blind Deblurring (CVPR 2013) [Paper]
  Authors: Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth

Longuet-Higgins Prize (Test of Time):

• Object Class Recognition by Unsupervised Scale-Invariant Learning (CVPR 2003) [Paper]
  Authors: R. Fergus, P. Perona, A. Zisserman

ICLR

Outstanding Papers 2024 [Best Papers] [All Papers]

• Generalization in diffusion models arises from geometry-adaptive harmonic representations (ICLR 2024) [Paper]
  Authors: Zahra Kadkhodaie, Florentin Guth, Eero P Simoncelli, Stéphane Mallat

• Learning Interactive Real-World Simulators (ICLR 2024) [Paper]
  Authors: Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel

• Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (ICLR 2024) [Paper]
  Authors: Ido Amos, Jonathan Berant, Ankit Gupta

• Protein Discovery with Discrete Walk-Jump Sampling (ICLR 2024) [Paper]
  Authors: Nathan C. Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

• Vision Transformers Need Registers (ICLR 2024) [Paper]
  Authors: Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski

Outstanding Paper Honorable Mentions

• Amortizing intractable inference in large language models (ICLR 2024) [Paper]
  Authors: Edward J Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin

• Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization (ICLR 2024) [Paper]
  Authors: Ian Gemp, Luke Marris, Georgios Piliouras

• Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness (ICLR 2024) [Paper]
  Authors: Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang

• Flow Matching on General Geometries (ICLR 2024) [Paper]
  Authors: Ricky T. Q. Chen, Yaron Lipman

• Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video (ICLR 2024) [Paper]
  Authors: Shashanka Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira, Yuki M Asano, Yannis Avrithis

• Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction (ICLR 2024) [Paper]
  Authors: Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei

• Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs (ICLR 2024) [Paper]
  Authors: Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao

• Proving Test Set Contamination in Black-Box Language Models (ICLR 2024) [Paper]
  Authors: Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto

• Robust agents learn causal world models (ICLR 2024) [Paper]
  Authors: Jonathan Richens, Tom Everitt

• The mechanistic basis of data dependence and abrupt learning in an in-context classification task (ICLR 2024) [Paper]
  Authors: Gautam Reddy

• Towards a statistical theory of data selection under weak supervision (ICLR 2024) [Paper]
  Authors: Germain Kolossov, Andrea Montanari, Pulkit Tandon

Test of Time

• Auto-Encoding Variational Bayes (ICLR 2014) [Paper]
  Authors: Diederik Kingma, Max Welling

Test of Time Runner Up

• Intriguing properties of neural networks (ICLR 2014) [Paper]
  Authors: Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus

Outstanding Papers 2023 [Best Papers] [All Papers]

• Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching (ICLR 2023) [Paper]
  Authors: Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong

• Rethinking the Expressive Power of GNNs via Graph Biconnectivity (ICLR 2023) [Paper]
  Authors: Bohang Zhang, Shengjie Luo, Liwei Wang, Di He

• DreamFusion: Text-to-3D using 2D Diffusion (ICLR 2023) [Paper]
  Authors: Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall

• Emergence of Maps in the Memories of Blind Navigation Agents (ICLR 2023) [Paper]
  Authors: Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra

Outstanding Paper Honorable Mentions

• Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning (ICLR 2023) [Paper]
  Authors: Zeyuan Allen-Zhu, Yuanzhi Li

• Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning (ICLR 2023) [Paper]
  Authors: Anton Bakhtin, David J Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H Miller, Noam Brown

• On the duality between contrastive and non-contrastive self-supervised learning (ICLR 2023) [Paper]
  Authors: Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun

• Conditional Antibody Design as 3D Equivariant Graph Translation (ICLR 2023) [Paper]
  Authors: Xiangzhe Kong, Wenbing Huang, Yang Liu

• Disentanglement with Biological Constraints: A Theory of Functional Cell Types (ICLR 2023) [Paper]
  Authors: James C. R. Whittington, Will Dorrell, Surya Ganguli, Timothy Behrens

Outstanding Papers 2022 [Best Papers] [All Papers]

• Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022) [Paper]
  Authors: Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang

• Hyperparameter Tuning with Renyi Differential Privacy (ICLR 2022) [Paper]
  Authors: Nicolas Papernot, Thomas Steinke

• Learning Strides in Convolutional Neural Networks (ICLR 2022) [Paper]
  Authors: Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour

• Expressiveness and Approximation Properties of Graph Neural Networks (ICLR 2022) [Paper]
  Authors: Floris Geerts, Juan L Reutter

• Comparing Distributions by Measuring Differences that Affect Decision Making (ICLR 2022) [Paper]
  Authors: Shengjia Zhao, Abhishek Sinha, Yutong (Kelly) He, Aidan Perreault, Jiaming Song, Stefano Ermon

• Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path (ICLR 2022) [Paper]
  Authors: X.Y. Han, Vardan Papyan, David L. Donoho

• Bootstrapped Meta-Learning (ICLR 2022) [Paper]
  Authors: Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh

Outstanding Paper Honorable Mentions

• Understanding over-squashing and bottlenecks on graphs via curvature (ICLR 2022) [Paper]
  Authors: Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein

• Efficiently Modeling Long Sequences with Structured State Spaces (ICLR 2022) [Paper]
  Authors: Albert Gu, Karan Goel, Christopher Re

• PiCO: Contrastive Label Disambiguation for Partial Label Learning (ICLR 2022) [Paper]
  Authors: Haobo Wang, Ruixuan Xiao, Yixuan (Sharon) Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao

Outstanding Papers 2021 [Best Papers] [All Papers]

• Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters (ICLR 2021) [Paper]
  Authors: Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, and Jie Fu

• Complex Query Answering with Neural Link Predictors (ICLR 2021) [Paper]
  Authors: Erik Arakelyan, Daniel Daza, Pasquale Minervini, and Michael Cochez

• EigenGame: PCA as a Nash Equilibrium (ICLR 2021) [Paper]
  Authors: Ian Gemp, Brian McWilliams, Claire Vernade, and Thore Graepel

• Learning Mesh-Based Simulation with Graph Networks (ICLR 2021) [Paper]
  Authors: Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, and Peter Battaglia

• Neural Synthesis of Binaural Speech from Mono Audio (ICLR 2021) [Paper]
  Authors: Alexander Richard, Dejan Markovic, Israel D. Gebru, Steven Krenn, Gladstone Alexander Butler, Fernando Torre, and Yaser Sheikh

• Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime (ICLR 2021) [Paper]
  Authors: Atsushi Nitanda, and Taiji Suzuki

• Rethinking Architecture Selection in Differentiable NAS (ICLR 2021) [Paper]
  Authors: Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, and Cho-Jui Hsieh

• Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021) [Paper]
  Authors: Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Outstanding Papers 2020 [Best Papers] [All Papers]

• ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (ICLR 2020) [Paper]
  Authors: Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut

• Plug and Play Language Models: A Simple Approach to Controlled Text Generation (ICLR 2020) [Paper]
  Authors: Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu

• Meta-Learning without Memorization (ICLR 2020) [Paper]
  Authors: Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn

• Reformer: The Efficient Transformer (ICLR 2020) [Paper]
  Authors: Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya

• Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML (ICLR 2020) [Paper]
  Authors: Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals

• Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One (ICLR 2020) [Paper]
  Authors: Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky

• Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP (ICLR 2020) [Paper]
  Authors: Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos

• On Identifiability in Transformers (ICLR 2020) [Paper]
  Authors: Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer

• Neural Tangents: Fast and Easy Infinite Neural Networks in Python (ICLR 2020) [Paper]
  Authors: Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz

• Generalization through Memorization: Nearest Neighbor Language Models (ICLR 2020) [Paper]
  Authors: Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

Best Papers 2019 [Best Papers] [All Papers]

• Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks (ICLR 2019) [Paper]
  Authors: Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville

• The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks (ICLR 2019) [Paper]
  Authors: Jonathan Frankle, Michael Carbin

Best Papers 2018 [Best Papers] [All Papers]

• On the Convergence of Adam and Beyond (ICLR 2018) [Paper]
  Authors: Sashank J. Reddi, Satyen Kale, Sanjiv Kumar

• Spherical CNNs (ICLR 2018) [Paper]
  Authors: Taco S. Cohen, Mario Geiger, Jonas Koehler, Max Welling

• Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments (ICLR 2018) [Paper]
  Authors: Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel

Best Papers 2017 [Best Papers] [All Papers]

• Understanding deep learning requires rethinking generalization (ICLR 2017) [Paper]
  Authors: Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals

• Making neural programming architectures generalize via recursion (ICLR 2017) [Paper]
  Authors: Jonathon Cai, Richard Shin, Dawn Song

• Semi-supervised knowledge knowledge transfer for deep learning from private training data (ICLR 2017) [Paper]
  Authors: Nicolas Papernot, Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, Kunal Talwar

Best Papers 2016 [Best Papers] [All Papers]

Best Paper Award:

• Neural Programmer-Interpreters (ICLR 2016) [Paper]
  Authors: Scott Reed, Nando de Freitas

• Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding (ICLR 2016) [Paper]
  Authors: Song Han, Huizi Mao, Bill Dally

NeurIPS

Best Papers 2024 [Best Papers] [All Papers]

Best papers for the main track:

• Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction (NeurIPS 2024) [Paper]
  Authors: Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang

• Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators (NeurIPS 2024) [Paper]
  Authors: Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi

Runners ups for the main track:

• Not All Tokens Are What You Need for Pretraining (NeurIPS 2024) [Paper]
  Authors: Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen

• Guiding a Diffusion Model with a Bad Version of Itself (NeurIPS 2024) [Paper]
  Authors: Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine

Best paper for Datasets & Benchmarks track:

• The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models (NeurIPS 2024) [Paper]
  Authors: Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale

Outstanding Papers 2023 [Best Papers] [All Papers]

• Privacy Auditing with One (1) Training Run (NeurIPS 2023) [Paper]
  Authors: Thomas Steinke, Milad Nasr, Matthew Jagielski

• Are Emergent Abilities of Large Language Models a Mirage? (NeurIPS 2023) [Paper]
  Authors: Rylan Schaeffer · Brando Miranda · Sanmi Koyejo

Outstanding Main Track Runner-Ups:

• Scaling Data-Constrained Language Models (NeurIPS 2023) [Paper]
  Authors: Niklas Muennighoff · Alexander Rush · Boaz Barak · Teven Le Scao · Nouamane Tazi · Aleksandra Piktus · Sampo Pyysalo · Thomas Wolf · Colin Raffel

• Direct Preference Optimization: Your Language Model is Secretly a Reward Model (NeurIPS 2023) [Paper]
  Authors: Rafael Rafailov · Archit Sharma · Eric Mitchell · Christopher D Manning · Stefano Ermon · Chelsea Finn

Outstanding Datasets and Benchmarks Papers

• ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation (NeurIPS 2023) [Paper]
  Authors: Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus Christopher Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles I Stern, Tom Beucler, Bryce Harrop, Benjamin R Hillman, Andrea Jenney, Savannah Ferretti, Nana Liu, Anima Anandkumar, Noah D Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark A Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Michael Pritchard

• DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models (NeurIPS 2023) [Paper]
  Authors: Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

Test of Time

• Distributed Representations of Words and Phrases and their Compositionality (NeurIPS 2013) [Paper]
  Authors: Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean

Outstanding Papers 2022 [Best Papers] [All Papers]

• Is Out-of-distribution Detection Learnable? (NeurIPS 2022) [Paper]
  Authors: Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu

• Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (NeurIPS 2022) [Paper]
  Authors: Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Raphael Gontijo-Lopes, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi

• Elucidating the Design Space of Diffusion-Based Generative Models (NeurIPS 2022) [Paper]
  Authors: Tero Karras, Miika Aittala, Timo Aila, Samuli Laine

• ProcTHOR: Large-Scale Embodied AI Using Procedural Generation (NeurIPS 2022) [Paper]
  Authors: Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Kiana Ehsani, Jordi Salvador, Winson Han, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi

• Using natural language and program abstractions to instill human inductive biases in machines (NeurIPS 2022) [Paper]
  Authors: Sreejan Kumar, Carlos G Correa, Ishita Dasgupta, Raja Marjieh, Michael Hu, Robert D. Hawkins, Jonathan Cohen, Nathaniel Daw, Karthik R Narasimhan, Thomas L. Griffiths

• A Neural Corpus Indexer for Document Retrieval (NeurIPS 2022) [Paper]
  Authors: Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

• High-dimensional limit theorems for SGD: Effective dynamics and critical scaling (NeurIPS 2022) [Paper]
  Authors: Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath

• Gradient Descent: The Ultimate Optimizer (NeurIPS 2022) [Paper]
  Authors: Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer

• Riemannian Score-Based Generative Modelling (NeurIPS 2022) [Paper]
  Authors: Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet

• Gradient Estimation with Discrete Stein Operators (NeurIPS 2022) [Paper]
  Authors: Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis Titsias, Lester Mackey

• An empirical analysis of compute-optimal large language model training (NeurIPS 2022) [Paper]
  Authors: Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack William Rae, Laurent Sifre

• Beyond neural scaling laws: beating power law scaling via data pruning (NeurIPS 2022) [Paper]
  Authors: Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari S. Morcos

• On-Demand Sampling: Learning Optimally from Multiple Distributions (NeurIPS 2022) [Paper]
  Authors: Nika Haghtalab, Michael Jordan, Eric Zhao

• LAION-5B: An open large-scale dataset for training next generation image-text models (NeurIPS 2022) [Paper]
  Authors: Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade W Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa R Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev

• MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge (NeurIPS 2022) [Paper]
  Authors: Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar

Test of Time

• ImageNet Classification with Deep Convolutional Neural Networks (NeurIPS 2012) [Paper]
  Authors: Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton

Outstanding Papers 2021 [Best Papers] [All Papers]

• A Universal Law of Robustness via Isoperimetry (NeurIPS 2021) [Paper]
  Authors: Sébastien Bubeck and Mark Sellke

• On the Expressivity of Markov Reward (NeurIPS 2021) [Paper]
  Authors: David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael Littman, Doina Precup, and Satinder Singh

• Deep Reinforcement Learning at the Edge of the Statistical Precipice (NeurIPS 2021) [Paper]
  Authors: Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, and Marc G. Bellemare

• MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers (NeurIPS 2021) [Paper]
  Authors: Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, and Zaid Harchaoui

• Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms (NeurIPS 2021) [Paper]
  Authors: Mathieu Even, Raphaël Berthier, Francis Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, and Adrien Taylor

• Moser Flow: Divergence-based Generative Modeling on Manifolds (NeurIPS 2021) [Paper]
  Authors: Noam Rozen, Aditya Grover, Maximilian Nickel, and Yaron Lipman

• Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research (NeurIPS 2021) [Paper]
  Authors: Bernard Koch, Emily Denton, Alex Hanna, and Jacob Gates Foster

• ATOM3D: Tasks on Molecules in Three Dimensions (NeurIPS 2021) [Paper]
  Authors: Raphael John Lamarre Townshend, Martin Vögele, Patricia Adriana Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ Altman, and Ron O. Dror

Test of Time

• Online Learning for Latent Dirichlet Allocation (NeurIPS 2010) [Paper]
  Authors: Matthew Hoffman, David Blei, and Francis Bach

Outstanding Papers 2020 [Best Papers] [All Papers]

• Improved Guarantees and a Multiple-Descent Curve for Column Subset Selection and the Nyström Method (NeurIPS 2020) [Paper]
  Authors: Michał Dereziński, Rajiv Khanna, Michael W. Mahoney

• Language Models are Few-Shot Learners (NeurIPS 2020) [Paper]
  Authors: Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei

• No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium (NeurIPS 2020) [Paper]
  Authors: Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti

Test of Time

• HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent (NeurIPS 2011) [Paper]
  Authors: Benjamin Recht, Christopher Re, Stephen Wright, Feng Niu

Outstanding Papers 2019 [Best Papers] [All Papers]

• Distribution-Independent PAC Learning of Halfspaces with Massart Noise (NeurIPS 2019) [Paper]
  Authors: Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos

• Uniform convergence may be unable to explain generalization in deep learning (NeurIPS 2019) [Paper]
  Authors: Vaishnavh Nagarajan, J. Zico Kolter

• Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses (NeurIPS 2019) [Paper]
  Authors: Ananya Uppal, Shashank Singh, Barnabás Póczos

• Fast and Accurate Least-Mean-Squares Solvers (NeurIPS 2019) [Paper]
  Authors: Alaa Maalouf, Ibrahim Jubran, Dan Feldman

• Putting An End to End-to-End: Gradient-Isolated Learning of Representations (NeurIPS 2019) [Paper]
  Authors: Sindy Löwe, Peter O’Connor, Bastiaan S. Veeling

• Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations (NeurIPS 2019) [Paper]
  Authors: Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein

Test of Time

• Dual Averaging Method for Regularized Stochastic Learning and Online Optimization (NeurIPS 2009) [Paper]
  Authors: Lin Xiao

Outstanding Papers 2018 [Best Papers] [All Papers]

• Non-delusional Q-learning and Value-iteration (NeurIPS 2018) [Paper]
  Authors: Tyler Lu, Dale Schuurmans, Craig Boutilier

• Optimal Algorithms for Non-Smooth Distributed Optimization in Networks (NeurIPS 2018) [Paper]
  Authors: Kevin Scaman, Francis Bach, Sebastien Bubeck, Laurent Massoulié, Yin Tat Lee

• Nearly Tight Sample Complexity Bounds for Learning Mixtures of Gaussians via Sample Compression Schemes (NeurIPS 2018) [Paper]
  Authors: Hassan Ashtiani, Shai Ben-David, Nick Harvey, Christopher Liaw, Abbas Mehrabian, Yaniv Plan

• Neural Ordinary Differential Equations (NeurIPS 2018) [Paper]
  Authors: Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud

Test of Time

• The Trade-Offs of Large Scale Learning (NeurIPS 2007) [Paper]
  Authors: Leon Bottou, Olivier Bousquet

Outstanding Papers 2017 [Best Papers] [All Papers]

• Safe and Nested Subgame Solving for Imperfect-Information Games (NeurIPS 2017) [Paper]
  Authors: Noam Brown, Tuomas Sandholm

• Variance-based Regularization with Convex Objectives (NeurIPS 2017) [Paper]
  Authors: Hongseok Namkoong, John Duchi

• A Linear-Time Kernel Goodness-of-Fit Test (NeurIPS 2017) [Paper]
  Authors: Wittawat Jitkrittum, Wenkai Xu, Zoltan Szabo, Kenji Fukumizu, Arthur Gretton

Test of Time

• Random Features for Large-Scale Kernel Machines (NeurIPS 2007) [Paper]
  Authors: Ali Rahimi, Benjamin Recht

Outstanding Papers 2016 [Best Papers] [All Papers]

Best Paper Award:

• Value Iteration Networks (NeurIPS 2016) [Paper]
  Authors: Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel

Best Student Paper Award:

• Matrix Completion has No Spurious Local Minimum (NeurIPS 2016) [Paper]
  Authors: Rong Ge, Jason Lee, Tengyu Ma

Outstanding Papers 2015 [Best Papers] [All Papers]

• Competitive Distribution Estimation: Why is Good-Turing Good (NeurIPS 2015) [Paper]
  Authors: Alon Orlitsky, Ananda Suresh

• Fast Convergence of Regularized Learning in Games » (NeurIPS 2015) [Paper]
  Authors: Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo, Robert Schapire

Outstanding Papers 2014 [Best Papers] [All Papers]

• Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (NeurIPS 2014) [Paper]
  Authors: Anshumali Shrivastava, Ping Li

• A* Sampling (NeurIPS 2014) [Paper]
  Authors: Chris J. Maddison, Daniel Tarlow, Tom Minka

Outstanding Papers 2013 [Best Papers] [All Papers]

• A memory frontier for complex synapses (NeurIPS 2013) [Paper]
  Authors: Subhaneil Lahiri, Surya Ganguli

• Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints (NeurIPS 2013) [Paper]
  Authors: Rishabh K. Iyer, Jeff A. Bilmes

• Scalable Influence Estimation in Continuous-Time Diffusion Networks (NeurIPS 2013) [Paper]
  Authors: Nan Du, Le Song, Manuel Gomez Rodriguez, Hongyuan Zha

ICCV

Best Papers 2023 [Best Papers] [All Papers]

Best Paper Award:

• Passive Ultra-Wideband Single-Photon Imaging (ICCV 2023) [Paper]
  Authors: Mian Wei1, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos

• Adding Conditional Control to Text-to-Image Diffusion Models (ICCV 2023) [Paper]
  Authors: Lvmin Zhang, Anyi Rao, Maneesh Agrawala

Best Paper Honorable Mention:

• Segment Anything (ICCV 2023) [Paper]
  Authors: Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross Girshick

Best Student Paper Award:

• Tracking Everything Everywhere All At Once (ICCV 2023) [Paper]
  Authors: Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely

Helmholtz Prize (Test of Time):

• Action Recognition With Improved Trajectories (ICCV 2013) [Paper]
  Authors: H. Wang and C. Schmid

Best Papers 2021 [Best Papers] [All Papers]

Best Paper Award:

• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (ICCV 2021) [Paper]
  Authors: Ze Liu, Yutong Lin, Yue Cao, Han Hu), Yixuan Wei, Zheng Zhang (MSRA, Stephen Lin, Baining Guo

Best Paper Honorable Mention:

• Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields (ICCV 2021) [Paper]
  Authors: Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul Srinivasan

• OpenGAN: Open-Set Recognition via Open Data Generation (ICCV 2021) [Paper]
  Authors: Shu Kong, Deva Ramanan

• Viewing Graph Solvability via Cycle Consistency (ICCV 2021) [Paper]
  Authors: Federica Arrigoni, Andrea Fusiello, Elisa Ricci, Tomas Pajdla

• Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction (ICCV 2021) [Paper]
  Authors: Jeremy Reizenstein, Philipp Henzler, Roman Shapovalov, Luca Sbordone, Patrick Labatut, David Novotny

Best Student Paper Award:

• Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021) [Paper]
  Authors: Philipp Lindenberger, Paul-Edouard Sarlin, Viktor Larsson, Marc Pollefeys

Helmholtz Prize (Test of Time):

• ORB: An efficient alternative to SIFT or SURF (ICCV 2011) [Paper]
  Authors: E. Rublee, V. Rabaud, K. Konolige, G. Bradski

• HMDB: A large video database for human motion recognition (ICCV 2011) [Paper]
  Authors: H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, T. Serre

• DTAM: Dense tracking and mapping in real-time (ICCV 2011) [Paper]
  Authors: R. Newcombe, S. Lovegrove, A. Davison

Best Papers 2019 [Best Papers] [All Papers]

Best Paper Award:

• SinGAN: Learning a Generative Model from a Single Natural Image (ICCV 2019) [Paper]
  Authors: Tamar Rott Shaham, Tali Dekel, Tomer Michaeli

Best Paper Honorable Mention:

• Asynchronous Single-Photon 3D Imaging (ICCV 2019) [Paper]
  Authors: Anant Gupta, Atul Ingle, Mohit Gupta

• Specifying Object Attributes and Relations in Interactive Scene Generation (ICCV 2019) [Paper]
  Authors: Oron Ashual, Lior Wolf

Best Student Paper Award:

• PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility (ICCV 2019) [Paper]
  Authors: Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla

Helmholtz Prize (Test of Time):

• Building Rome in a Day (ICCV 2009) [Paper]
  Authors: S. Agarwal, N. Snavely, I. Simon, S. M. Seitz, R. Szeliski

• Attribute and Simile Classifiers for Face Verification (ICCV 2009) [Paper]
  Authors: N. Kumar, A. C. Berg, P. N. Belhumeur, S. K. Nayar

Best Papers 2017 [Best Papers] [All Papers]

Best Paper Award:

• Mask R-CNN (ICCV 2017) [Paper]
  Authors: Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

Best Paper Honorable Mention:

• First Person Activity Forecasting with Online Inverse Reinforcement Learning (ICCV 2017) [Paper]
  Authors: Nicholas Rhinehart, Kris M. Kitani

• Open Set Domain Adaptation (ICCV 2017) [Paper]
  Authors: Pau Panareda Busto, Juergen Gall

• Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence (ICCV 2017) [Paper]
  Authors: Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li

Best Student Paper Award:

• Focal Loss for Dense Object Detection (ICCV 2017) [Paper]
  Authors: Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár

Helmholtz Prize (Test of Time):

• Space-time interest points (ICCV 2003) [Paper]
  Authors: I. Laptev and T. Lindeberg

• Recognizing action at a distance (ICCV 2003) [Paper]
  Authors: A. Efros, A. Berg, G. Mori, J. Malik

• Video Google: A text retrieval approach to object matching in videos (ICCV 2003) [Paper]
  Authors: J. Sivic and A. Zisserman

• Recognising panoramas (ICCV 2003) [Paper]
  Authors: M. Brown and D. Lowe

• Discovering objects and their location in images (ICCV 2005) [Paper]
  Authors: J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman

• The pyramid match kernel: Discriminative classification with sets of image features (ICCV 2005) [Paper]
  Authors: K. Grauman and T. Darrell

• Actions as space-time shapes (ICCV 2005) [Paper]
  Authors: M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri

Best Papers 2015 [Best Papers] [All Papers]

Best Paper Award:

• Deep Neural Decision Forests (ICCV 2015) [Paper]
  Authors: Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulo

Best Paper Honorable Mention:

• Holistically-Nested Edge Detection (ICCV 2015) [Paper]
  Authors: Saining Xie, Zhuowen Tu

Helmholtz Prize (Test of Time):

• A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics (ICCV 2001) [Paper]
  Authors: D. Martin, C. Fowlkes, D. Tal, J. Malik

• Matching Shapes (ICCV 2001) [Paper]
  Authors: S. Belongie, J. Malik, J. Puzicha

Best Papers 2013 [Best Papers] [All Papers]

Best Paper Award:

• From Large Scale Image Categorization to Entry- Level Categories (ICCV 2015) [Paper]
  Authors: Vicente Ordonez; Jia Deng; Yejin Choi; Alexander C. Berg; Tamara L. Berg

Best Paper Honorable Mention:

• Hierarchical Data-driven Descent for Efficient Optimal Deformation Estimation (ICCV 2013) [Paper]
  Authors: Yuandong Tian, Srinivasa G. Narasimhan

• Piecewise Rigid Scene Flow (ICCV 2013) [Paper]
  Authors: Christoph Vogel, Konrad Schindler, Stefan Roth

ICML

Best Papers 2024 [Best Papers] [All Papers]

• VideoPoet: A Large Language Model for Zero-Shot Video Generation (ICML 2024) [Paper]
  Authors: Dan Kondratyuk · Lijun Yu · Xiuye Gu · Jose Lezama · Jonathan Huang · Grant Schindler · Rachel Hornung · Vighnesh N Birodkar · Jimmy Yan · Ming-Chang Chiu · Krishna Somandepalli · Hassan Akbari · Yair Alon · Yong Cheng · Joshua V Dillon · Agrim Gupta · Meera Hahn · Anja Hauth · David Hendon · Alonso Martinez · David Minnen · Mikhail Sirotenko · Kihyuk Sohn · Xuan Yang · Hartwig Adam · Ming-Hsuan Yang · Irfan Essa · Huisheng Wang · David Ross · Bryan Seybold · Lu Jiang

• Debating with More Persuasive LLMs Leads to More Truthful Answers (ICML 2024) [Paper]
  Authors: Akbir Khan · John Hughes · Dan Valentine · Laura Ruis · Kshitij Sachan · Ansh Radhakrishnan · Edward Grefenstette · Samuel Bowman · Tim Rocktäschel · Ethan Perez

• Genie: Generative Interactive Environments (ICML 2024) [Paper]
  Authors: Jake Bruce · Michael Dennis · Ashley Edwards · Jack Parker-Holder · Yuge Shi · Edward Hughes · Matthew Lai · Aditi Mavalankar · Richie Steigerwald · Chris Apps · Yusuf Aytar · Sarah Bechtle · Feryal Behbahani · Stephanie Chan · Nicolas Heess · Lucy Gonzalez · Simon Osindero · Sherjil Ozair · Scott Reed · Jingwei Zhang · Konrad Zolna · Jeff Clune · Nando de Freitas · Satinder Singh · Tim Rocktäschel

• Position: Measure Dataset Diversity, Don't Just Claim It (ICML 2024) [Paper]
  Authors: Dora Zhao · Jerone Andrews · Orestis Papakyriakopoulos · Alice Xiang

• Stealing part of a production language model (ICML 2024) [Paper]
  Authors: Nicholas Carlini · Daniel Paleka · Krishnamurthy Dvijotham · Thomas Steinke · Jonathan Hayase · A. Feder Cooper · Katherine Lee · Matthew Jagielski · Milad Nasr · Arthur Conmy · Eric Wallace · David Rolnick · Florian Tramer

• Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (ICML 2024) [Paper]
  Authors: Patrick Esser · Sumith Kulal · Andreas Blattmann · Rahim Entezari · Jonas Müller · Harry Saini · Yam Levi · Dominik Lorenz · Axel Sauer · Frederic Boesel · Dustin Podell · Tim Dockhorn · Zion English · Robin Rombach

• Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining (ICML 2024) [Paper]
  Authors: Florian Tramer · Gautam Kamath · Nicholas Carlini

• Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing (ICML 2024) [Paper]
  Authors: Idan Attias · Gintare Karolina Dziugaite · Mahdi Haghifam · Roi Livni · Daniel Roy

• Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo (ICML 2024) [Paper]
  Authors: Stephen Zhao · Rob Brekelmans · Alireza Makhzani · Roger Grosse

• Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (ICML 2024) [Paper]
  Authors: Aaron Lou · Chenlin Meng · Stefano Ermon

Test of Time Award:

• DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (ICML 2014) [Paper]
  Authors: Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

Outstanding Papers 2023 [Best Papers] [All Papers]

• Learning-Rate-Free Learning by D-Adaptation (ICML 2023) [Paper]
  Authors: Aaron Defazio (FAIR), Konstantin Mishchenko (Samsung AI Center)

• A Watermark for Large Language Models (ICML 2023) [Paper]
  Authors: John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein (University of Maryland)

• Generalization on the Unseen, Logic Reasoning and Degree Curriculum (ICML 2023) [Paper]
  Authors: Emmanuel Abbe (EPFL, Apple) , Samy Bengio (Apple), Aryo Lotfi (EPFL), Kevin Rizk (EPFL)

• Adapting to game trees in zero-sum imperfect information games (ICML 2023) [Paper]
  Authors: Côme Fiegel (CREST, ENSAE, IP Paris), Pierre MENARD (ENS Lyon), Tadashi Kozuno (Omron Sinic X), Remi Munos (Deepmind), Vianney Perchet (CREST, ENSAE, IP Paris and CRITEO AI Lab), Michal Valko (Deepmind)

• Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (ICML 2023) [Paper]
  Authors: Vishwaraj Doshi (IQVIA Inc), Jie Hu (North Carolina State University), Do Young Eun (North Carolina State University)

• Bayesian Design Principles for Frequentist Sequential Learning (ICML 2023) [Paper]
  Authors: Yunbei Xu, Assaf Zeevi (Columbia University)

Test of Time Award:

• Learning Fair Representations (ICML 2013) [Paper]
  Authors: Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, Cynthia Dwork

Outstanding Papers 2022 [Best Papers] [All Papers]

• Do Differentiable Simulators Give Better Policy Gradients (ICML 2022) [Paper]
  Authors: Hyung Ju Suh · Max Simchowitz · Kaiqing Zhang · Russ Tedrake

• Causal Conceptions of Fairness and their Consequences (ICML 2022) [Paper]
  Authors: Hamed Nilforoshan · Johann Gaebler · Ravi Shroff · Sharad Goel

• G-Mixup: Graph Data Augmentation for Graph Classification (ICML 2022) [Paper]
  Authors: Xiaotian Han · Zhimeng Jiang · Ninghao Liu · Xia Hu

• Stable Conformal Prediction Sets (ICML 2022) [Paper]
  Authors: Eugene Ndiaye

• Privacy for Free: How does Dataset Condensation Help Privacy? (ICML 2022) [Paper]
  Authors: Tian Dong · Bo Zhao · Lingjuan Lyu

• Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation (ICML 2022) [Paper]
  Authors: Jiali Wang · Wen Huang · Rujun Jiang · Xudong Li · Alex Wang

• The Importance of Non-Markovianity in Maximum State Entropy Exploration (ICML 2022) [Paper]
  Authors: Mirco Mutti · Riccardo De Santi · Marcello Restelli

• Bayesian Model Selection, the Marginal Likelihood, and Generalization (ICML 2022) [Paper]
  Authors: Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson

• Understanding Dataset Difficulty with V-Usable Information (ICML 2022) [Paper]
  Authors: Kawin Ethayarajh · Yejin Choi · Swabha Swayamdipta

• Learning Mixtures of Linear Dynamical Systems (ICML 2022) [Paper]
  Authors: Yanxi Chen · H. Vincent Poor

Outstanding Paper Runner Up

• Active fairness auditing (ICML 2022) [Paper]
  Authors: Tom Yan · Chicheng Zhang

• Adversarially Trained Actor Critic for Offline Reinforcement Learning (ICML 2022) [Paper]
  Authors: Ching-An Cheng · Tengyang Xie · Nan Jiang · Alekh Agarwal

• Monarch: Expressive Structured Matrices for Efficient and Accurate Training (ICML 2022) [Paper]
  Authors: Tri Dao · Beidi Chen · Nimit Sohoni · Arjun Desai · Michael Poli · Jessica Grogan · Alexander Liu · Aniruddh Rao · Atri Rudra · Christopher Re

• Learning inverse folding from millions of predicted structures (ICML 2022) [Paper]
  Authors: Chloe Hsu · Robert Verkuil · Jason Liu · Zeming Lin · Brian Hie · Tom Sercu · Adam Lerer · Alexander Rives

• Minimum Cost Intervention Design for Causal Effect Identification (ICML 2022) [Paper]
  Authors: Sina Akbari · Jalal Etesami · Negar Kiyavash

Test of Time Award:

• Poisoning Attacks Against Support Vector Machines (ICML 2012) [Paper]
  Authors: Battista Biggio, Blaine Nelson, Pavel Laskov

Test of Time Honorable Mention:

• Building high-level features using large scale unsupervised learning (ICML 2012) [Paper]
  Authors: Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg S. Corrado, Jeff Dean, Andrew Y. Ng

• On causal and anticausal learning (ICML 2012) [Paper]
  Authors: Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris Mooij

Outstanding Papers 2021 [Best Papers] [All Papers]

• Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (ICML 2021) [Paper]
  Authors: Paul Vicol · Luke Metz · Jascha Sohl-Dickstein

Outstanding Paper Honorable Mention

• Oops I Took A Gradient: Scalable Sampling for Discrete Distributions (ICML 2021) [Paper]
  Authors: Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison

• Understanding self-supervised learning dynamics without contrastive pairs (ICML 2021) [Paper]
  Authors: Yuandong Tian · Xinlei Chen · Surya Ganguli

• Optimal Complexity in Decentralized Training (ICML 2021) [Paper]
  Authors: Yucheng Lu · Christopher De Sa

• Solving high-dimensional parabolic PDEs using the tensor train format (ICML 2021) [Paper]
  Authors: Lorenz Richter · Leon Sallandt · Nikolas Nüsken

Outstanding Papers 2020 [Best Papers] [All Papers]

• On Learning Sets of Symmetric Elements Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020) [Paper]
  Authors: Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang

Outstanding Paper Honorable Mention

• Efficiently sampling functions from Gaussian process posteriors Generative Pretraining From Pixels (ICML 2020) [Paper]
  Authors: James Wilson · Viacheslav Borovitskiy · Alexander Terenin · Peter Mostowsky · Marc Deisenroth

Outstanding Papers 2019 [Best Papers] [All Papers]

• Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations (ICML 2019) [Paper]
  Authors: Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem

• Rates of Convergence for Sparse Variational Gaussian Process Regression (ICML 2019) [Paper]
  Authors: David R. Burt, Carl E. Rasmussen, Mark van der Wilk

Outstanding Papers 2018 [Best Papers] [All Papers]

• Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples (ICML 2018) [Paper]
  Authors: Anish Athalye, Nicholas Carlini, David Wagner

• Delayed Impact of Fair Machine Learning (ICML 2018) [Paper]
  Authors: Lydia Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

Outstanding Paper Honorable Mention

• The Mechanics of n-Player Differentiable Games (ICML 2018) [Paper]
  Authors: David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

• Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices (ICML 2018) [Paper]
  Authors: Zengfeng Huang

• Fairness Without Demographics in Repeated Loss Minimization (ICML 2018) [Paper]
  Authors: Tatsunori Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang

ECCV

Best Papers 2024 [Best Papers] [All Papers]

Best Paper Award:

• Minimalist Vision with Freeform Pixels (ECCV 2024) [Paper]
  Authors: Jeremy Klotz, Shree Nayar

Best Paper Honorable Mention Award:

• Rasterized Edge Gradients: Handling Discontinuities Differentiably (ECCV 2024) [Paper]
  Authors: Stanislav Pidhorskyi, Tomas Simon, Gabriel Schwartz, He Wen, Yaser Sheikh, Jason Saragih

• Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models (ECCV 2024) [Paper]
  Authors: Vitali Petsiuk, Kate Saenko

Award Candidates:

• Robust Fitting on a Gate Quantum Computer (ECCV 2024) [Paper]
  Authors: Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin

• Sapiens: Foundation for Human Vision Models (ECCV 2024) [Paper]
  Authors: Rawal Khirodkar, Timur Bagautdinov, Julieta Martinez, Su Zhaoen, Austin James, Peter Selednik, Stuart Anderson, Shunsuke Saito

• SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow (ECCV 2024) [Paper]
  Authors: Yihan Wang, Lahav Lipson, Jia Deng

• Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention (ECCV 2024) [Paper]
  Authors: Zuyao Chen, Jinlin Wu, Zhen Lei, Zhaoxiang Zhang, Chang Wen Chen

• Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection (ECCV 2024) [Paper]
  Authors: Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li

• Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging (ECCV 2024) [Paper]
  Authors: Zongliang Wu, Ruiying Lu, Ying Fu, Xin Yuan

• Efficient Bias Mitigation Without Privileged Information (ECCV 2024) [Paper]
  Authors: Mateo Espinosa Zarlenga, Swami Sankaranarayanan, Jerone T. A. Andrews, Zohreh Shams, Mateja Jamnik, Alice Xiang

• PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology (ECCV 2024) [Paper]
  Authors: Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen, Kai Zhang, Yunlong Zhang, Dan Wan, Xiaoxiao Lan, Mengyue Zheng, Jingxiong Li, Xinheng Lyu, Tao Lin, Lin Yang

• PointLLM: Empowering Large Language Models to Understand Point Clouds (ECCV 2024) [Paper]
  Authors: Runsen Xu, Xiaolong Wang, Tai Wang, Yilun Chen, Jiangmiao Pang, Dahua Lin

• LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning (ECCV 2024) [Paper]
  Authors: Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M Rehg, Miao Liu

• Controlling the World by Sleight of Hand (ECCV 2024) [Paper]
  Authors: Sruthi Sudhakar, Ruoshi Liu, Basile Van Hoorick, Carl Vondrick, Richard Zemel

• On the Topology Awareness and Generalization Performance of Graph Neural Networks (ECCV 2024) [Paper]
  Authors: Junwei Su, Chuan Wu

Koenderink Prize (Test of Time):

• Microsoft COCO: Common Objects in Context (ECCV 2014) [Paper]
  Authors: Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

• LSD-SLAM: Large-Scale Direct Monocular SLAM (ECCV 2014) [Paper]
  Authors: Jakob Engel, Thomas Schöps, Daniel Cremers

Best Papers 2022 [Best Papers] [All Papers]

Best Paper Award:

• On the Versatile Uses of Partial Distance Correlation in Deep Learning (ECCV 2022) [Paper]
  Authors: Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh

Best Paper Honorable Mention:

• Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields (ECCV 2022) [Paper]
  Authors: Garvita Tiwari, Dimitrije Antic, Jan E. Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll

• A Level Set Theory for Neural Implicit Evolution under Explicit Flows (ECCV 2022) [Paper]
  Authors: Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi

Koenderink Prize (Test of Time):

• A Naturalistic Open Source Movie for Optical Flow Evaluation (ECCV 2012) [Paper]
  Authors: D. Butler, J. Wulff, G.Stanley, M. Black

• Indoor Segmentation and Support Inference from RGBD Images (ECCV 2012) [Paper]
  Authors: N. Silberman, D. Hoiem, P. Kohli, R. Fergus

Best Papers 2020 [Best Papers] [All Papers]

Best Paper Award:

• RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (ECCV 2020) [Paper]
  Authors: Zachary Teed, Jia Deng

Best Paper Honorable Mention:

• Towards Streaming Perception (ECCV 2020) [Paper]
  Authors: Mengtian Li, Yu-Xiong Wang, Deva Ramanan

• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ECCV 2020) [Paper]
  Authors: Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng

Koenderink Prize (Test of Time):

• Improving the Fisher Kernel for Large-Scale Image Classification (ECCV 2010) [Paper]
  Authors: F. Perronnin, J. Sánchez, T. Mensink

• Brief: Binary Robust Independent Elementary Features (ECCV 2010) [Paper]
  Authors: M. Calonder, V. Lepetit, C. Strecha, P. Fua

Best Papers 2018 [Best Papers] [All Papers]

Best Paper Award:

• Implicit 3D Orientation Learning for 6D Object Detection from RGB Images (ECCV 2018) [Paper]
  Authors: Martin Sundermeyer, Zoltan Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel

Best Paper Honorable Mention:

• Group Normalization (ECCV 2018) [Paper]
  Authors: Yuxin Wu, Kaiming He

• GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV 2018) [Paper]
  Authors: Albert Pumarola, Antonio Agudo, Aleix M. Martinez, Alberto Sanfeliu, Francesco Moreno-Noguer

Koenderink Prize (Test of Time):

• Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search (ECCV 2008) [Paper]
  Authors: H. Jegou, M. Douze, and C. Schmid

• Semi-supervised On-Line Boosting for Robust Tracking (ECCV 2008) [Paper]
  Authors: H. Grabner, C. Leistner, and H. Bischof

Best Papers 2016 [Best Papers] [All Papers]

Best Paper Award:

• Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera (ECCV 2016) [Paper]
  Authors: H. Kim, S. Leutenegger, A. J. Davison

Best Paper Honorable Mention:

• The Fast Bilateral Solver (ECCV 2016) [Paper]
  Authors: Jonathan T. Barron, Ben Poole

Koenderink Prize (Test of Time):

• Surf: Speeded up robust features (ECCV 2006) [Paper]
  Authors: H. Bay, T. Tuytelaars, L. Van Gool

• Machine learning for high-speed corner detection (ECCV 2006) [Paper]
  Authors: E. Rosten, T. Drummond

Best Papers 2014 [Best Papers] [All Papers]

Best Paper Award:

• Large-Scale Object Classification using Label Relation Graphs (ECCV 2014) [Paper]
  Authors: J. Deng, N. Ding, Y. Jia, A. Frome, K. Murphy, S. Bengio, Y. Li, H. Neven, H. Adam

• Scene Chronology (ECCV 2014) [Paper]
  Authors: K. Matzen, N. Snavely

Koenderink Prize (Test of Time):

• Face Recognition with Local Binary Patterns (ECCV 2004) [Paper]
  Authors: T. Ahonen, A. Hadid, M. Pietikainen

• High Accuracy Optical Flow Estimation Based on a Theory for Warping (ECCV 2004) [Paper]
  Authors: T. Brox, A. Bruhn, N. Papenberg, J. Weickert

AAAI

Best Papers 2024 [Best Papers] [All Papers]

Outstanding Paper Award

• GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles (AAAI 2024) [Paper]
  Authors: Chen Li; Yoshihiro Yamanishi

• Reliable Conflictive Multi-view Learning (AAAI 2024) [Paper]
  Authors: Cai Xu; Jiajun Si; Ziyu Guan; Wei Zhao; Yue Wu; Xiyue Gao

• Proportional Aggregation of Preferences for Sequential Decision Making (AAAI 2024) [Paper]
  Authors: Nikhil Chandak; Shashwat Goel; Dominik Peters

Best Paper for the AI for Social Impact track

• DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling (AAAI 2024) [Paper]
  Authors: Gustavo Perez; Subhransu Maji; Daniel Sheldon

Best Paper for the AI for Social Impact track Honorable Mention

• Nowcasting Temporal Trends Using Indirect Surveys (AAAI 2024) [Paper]
  Authors: Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz, Jose Aguilar, Antonio Fernández Anta, Antonio Ortega, Rosa Lillo

Best Student Paper for the AI for Social Impact track

• Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon (AAAI 2024) [Paper]
  Authors: Marc Grimson; Rafael Almeida; Qinru Shi; Yiwei Bai; Hector Angarita; Felipe Siqueira Pacheco; Rafael Schmitt; Alexander Flecker; Carla Gomes

Best Student Paper for the AI for Social Impact track Honorable Mention

• Is My Prediction Arbitrary? The Confounding Effects of Variance in Fair Classification Benchmarks (AAAI 2024) [Paper]
  Authors: A. Feder Cooper; Katherine Lee; Madiha Choksi; Solon Barocas; Christopher De Sa; James Grimmelmann; Jon Kleinberg; Siddhartha Sen; Baobao Zhang

Student Abstract Program Awards

• JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-series Interpretation (AAAI 2024) [Paper]
  Authors: Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry and Artur Dubrawski

• Strategic Recommendation: Revenue Optimal Matching for Online Platforms (AAAI 2024) [Paper]
  Authors: Luca D’Amico-Wong, Gary Qiurui Ma and David Parkes

Best Demonstration Award

• Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning (AAAI 2024) [Paper]
  Authors: Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns

Best Papers 2023 [Best Papers] [All Papers]

Outstanding Paper Award

• Misspecification in Inverse Reinforcement Learning (AAAI 2023) [Paper]
  Authors: Joar Skalse, Alessandro Abate

Outstanding Student Paper Award

• Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation (AAAI 2023) [Paper]
  Authors: Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, Lin Luo

Distinguished Paper Award

• DropMessage: Unifying Random Dropping for Graph Neural Networks (AAAI 2023) [Paper]
  Authors: Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang

• Two Heads are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation (AAAI 2023) [[Paper]]
  Authors: Pengfei Ren, Yuchen Chen, Jiachang Hao, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao

• Neural Architecture Search for Wide Spectrum Adversarial Robustness (AAAI 2023) [Paper]
  Authors: Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu

• CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU (AAAI 2023) [Paper]
  Authors: Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You

• DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View MultiLabel Classification (AAAI 2023) [[Paper]]
  Authors: Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

• Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification (AAAI 2023) [[Paper]]
  Authors: Lintao Dong, Wei Zhai Zheng-Jun Zha

• MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation (AAAI 2023) [[Paper]]
  Authors: Shida Zheng, Chenshu Chen, Xi Yang, Wenming Tan

• SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification (AAAI 2023) [[Paper]]
  Authors: Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

• XRand: Differentially Private Defense against Explanation-Guided Attacks (AAAI 2023) [Paper]
  Authors: Truc Nguyen, Phung Lai, Hai Phan, My T. Thai

• Clustering What Matters: Optimal Approximation for Clustering with Outliers (AAAI 2023) [Paper]
  Authors: Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue

• Robust Average-Reward Markov Decision Processes (AAAI 2023) [Paper]
  Authors: Yue Wang, Alvaro Velasquez, George Atia, Ashley Prater-Bennette, Shaofeng Zou

• Efficient Answer Enumeration in Description Logics with Functional Roles (AAAI 2023) [Paper]
  Authors: Carsten Lutz, Marcin Przybylko

Best Papers 2022 [Best Papers] [All Papers]

Outstanding Paper Award

• Online certification of preference-based fairness for personalized recommender systems (AAAI 2022) [Paper]
  Authors: Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

Outstanding Paper Award Honorable Mention

• Bayesian Persuasion in Sequential Decision-Making (AAAI 2022) [Paper]
  Authors: Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

• Operator-Potential Heuristics for Symbolic Search (AAAI 2022) [Paper]
  Authors: Daniel Fišer, Alvaro Torralba, Joerg Hoffmann

Outstanding Student Paper Award

• InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation (AAAI 2022) [Paper]
  Authors: Pierre Colombo, Chloé Clavel, Pablo Piantanida

Outstanding Student Paper Award Honorable Mention

• Compilation of Aggregates in ASP Systems (AAAI 2022) [Paper]
  Authors: Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro

• Entropy Estimation via Normalizing Flow (AAAI 2022) [Paper]
  Authors: Ziqiao Ao, Jinglai Li

Distinguished Paper Award

• AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning (AAAI 2022) [Paper]
  Authors: Zhao, Yan, Li, Li, Xing

• Certified Symmetry and Dominance Breaking for Combinatorial Optimisation (AAAI 2022) [Paper]
  Authors: Bogaerts, Gocht, McCreesh, & Nordström

• Online Elicitation of Necessarily Optimal Matchings (AAAI 2022) [Paper]
  Authors: Peters

• Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise (AAAI 2022) [Paper]
  Authors: Badings, Abate, Jansen, Parker, Poonawala, & Stoelinga

• Subset approximation of Pareto Regions with Bi-objective A* (AAAI 2022) [Paper]
  Authors: Rivera, Baier, & Hernandez

• The SoftCumulative Constraint with Quadratic Penalty (AAAI 2022) [Paper]
  Authors: Ouellet & Quimper

Best Papers 2021 [Best Papers] [All Papers]

Outstanding Paper Award

• Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting (AAAI 2021) [Paper]
  Authors: Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

• Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory (AAAI 2021) [Paper]
  Authors: Stefanos Leonardos, Georgios Piliouras

• Mitigating Political Bias in Language Models Through Reinforced Calibration (AAAI 2021) [Paper]
  Authors: Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, and Soroush Vosoughi

Outstanding Paper Award Honorable Mention

• Learning From Extreme Bandit Feedback (AAAI 2021) [Paper]
  Authors: Romain Lopez, Inderjit Dhillon, Michael I. Jordan

• Self-Attention Attribution: Interpreting Information Interactions Inside Transformer (AAAI 2021) [Paper]
  Authors: Yaru Hao, Li Dong, Furu Wei, Ke Xu

• Dual-Mandate Patrols: Multi-Armed Bandits for Green Security (AAAI 2021) [Paper]
  Authors: Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

Distinguished Paper Award

• IQ – Incremental Learning for Solving QSAT (AAAI 2021) [[Paper]]
  Authors: Thomas L Lee, Viktor Tóth, Sean B Holden

• Ethically Compliant Sequential Decision Making (AAAI 2021) [Paper]
  Authors: Justin Svegliato, Samer Nashed, Shlomo Zilberstein

• On the Tractability of SHAP Explanations (AAAI 2021) [Paper]
  Authors: Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu

• Expected Eligibility Traces (AAAI 2021) [Paper]
  Authors: Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, Andre Barreto, David Silver, Diana Borsa

• Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs (AAAI 2021) [Paper]
  Authors: Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

• Self-Supervised Multi-View Stereo via Effective Co-Segmentation and Data-Augmentation (AAAI 2021) [Paper]
  Authors: Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu

Best Papers 2020 [Best Papers] [All Papers]

Outstanding Paper Award

• WinoGrande: An Adversarial Winograd Schema Challenge at Scale (AAAI 2020) [Paper]
  Authors: Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

• A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning (AAAI 2020) [Paper]
  Authors: Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier

Outstanding Paper Award Honorable Mention

• A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search (AAAI 2020) [Paper]
  Authors: Vidal Alcazar, Pat Riddle, Mike Barley

• The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research (AAAI 2020) [Paper]
  Authors: John Kalantari, Heidi Nelson, Nicholas Chia

Outstanding Student Paper Award

• Fair Division of Mixed Divisible and Indivisible Goods (AAAI 2020) [Paper]
  Authors: Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu

Outstanding Student Paper Award Honorable Mention

• Lifelong Learning with a Changing Action Set (AAAI 2020) [Paper]
  Authors: Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas

WACV

Best Papers 2024 [Best Papers] [All Papers]

Award Finalists:

• Data-Centric Debugging: mitigating model failures via targeted data collection (WACV 2024) [Paper]
  Authors: Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feiz

• Efficient Semantic Matching with Hypercolumn Correlation (WACV 2024) [Paper]
  Authors: Seungwook Kim, Juhong Min, Minsu Cho

• WildlifeDatasets: An open-source toolkit for animal re-identification (WACV 2024) [Paper]
  Authors: Vojtěch Čermák, Lukas Picek, Lukáš Adam, Kostas Papafitsoros

• ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields (WACV 2024) [Paper]
  Authors: Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf

• ReCLIP: Refine Contrastive Language Image Pre-Training With Source Free Domain Adaptation (WACV 2024) [Paper]
  Authors: Xuefeng Hu, Ke Zhang, Lu Xia, Albert Chen, Jiajia Luo, Yuyin Sun, Ken Wang, Nan Qiao, Xiao Zeng, Min Sun, Cheng-Hao Kuo, Ram Nevatia

• Re-Evaluating LiDAR Scene Flow (WACV 2024) [Paper]
  Authors: Nathaniel Chodosh, Deva Ramanan, Simon Lucey

• Conditional Velocity Score Estimation for Image Restoration (WACV 2024) [Paper]
  Authors: Ziqiang Shi, Rujie Liu

• Semantic Labels-Aware Transformer Model for Searching Over a Large Collection of Lecture-Slides (WACV 2024) [Paper]
  Authors: K. V. Jobin, Anand Mishra, C. V. Jawahar

• Location-Aware Self-Supervised Transformers for Semantic Segmentation (WACV 2024) [Paper]
  Authors: Mathilde Caron, Neil Houlsby, Cordelia Schmid

• Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning (WACV 2024) [Paper]
  Authors: Jayateja Kalla, Soma Biswas

• RMFER: Semi-Supervised Contrastive Learning for Facial Expression Recognition With Reaction Mashup Video (WACV 2024) [Paper]
  Authors: Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Muhammadjon Boboev, Joonseok Lee, Seungryul Baek

• Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge (WACV 2024) [Paper]
  Authors: Pierpaolo Mori, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone

Best Papers 2023 [Best Papers] [All Papers]

Best Paper - Algorithms Award:

• Lossy Image Compression with Quantized Hierarchical VAEs (WACV 2023) [Paper]
  Authors: Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu

Best Paper - Applications Award:

• Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction (WACV 2023) [Paper]
  Authors: Yan Yang, Md Zakir Hossain, Eric A Stone, Shafin Rahman

Best Paper Honorable Mention:

• Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation (WACV 2023) [Paper]
  Authors: Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

• PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement (WACV 2023) [Paper]
  Authors: Hue Nguyen, Diep Tran, Khoi Nguyen, Rang Nguyen

Best Student Paper Award:

• Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation (WACV 2023) [Paper]
  Authors: Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon

Award Finalists:

• Dance Style Transfer with Cross-modal Transformer (WACV 2023) [Paper]
  Authors: Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman

• Saliency Guided Experience Packing for Replay in Continual Learning (WACV 2023) [Paper]
  Authors: Gobinda Saha, Kaushik Roy

• HyperShot: Few-Shot Learning by Kernel HyperNetworks (WACV 2023) [Paper]
  Authors: Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Maciej Zięba, Jacek Tabor, Przemysław Spurek

• FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation (WACV 2023) [Paper]
  Authors: Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran

• Probabilistic Volumetric Fusion for Dense Monocular SLAM (WACV 2023) [Paper]
  Authors: Antoni Rosinol, John J. Leonard, Luca Carlone

• Self-Attention Message Passing for Contrastive Few-Shot Learning (WACV 2023) [Paper]
  Authors: Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali-Rad

• X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation (WACV 2023) [Paper]
  Authors: Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Yogamani, Fatih Porikli

Best Papers 2022 [Best Papers] [All Papers]

Best Paper - Algorithms Award:

• Hole-robust wireframe Detection (WACV 2022) [Paper]
  Authors: Naejin Kong, Kiwoong Park, Harshith Goka

Best Paper - Applications Award:

• CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (WACV 2022) [Paper]
  Authors: Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter

Best Paper Honorable Mention:

• Strumming to the Beat: Audio-Conditioned Contrastive Video Textures (WACV 2022) [Paper]
  Authors: Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell

Best Student Paper Award:

• Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations (WACV 2022) [Paper]
  Authors: Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed

Best Papers 2021 [Best Papers] [All Papers]

Best Paper - Algorithms Award:

• DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction (WACV 2021) [Paper]
  Authors: Rodrigo Santa Cruz, Leo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado

Best Paper - Applications Award:

• 3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-View Model-Fitting (WACV 2021) [Paper]
  Authors: Zhongguo Li, Magnus Oskarsson, Anders Heyden

Best Paper Honorable Mention:

• Generative Patch Priors for Practical Compressive Image Recovery (WACV 2021) [Paper]
  Authors: Rushil Anirudh, Suhas Lohit, Pavan Turaga

Best Student Paper Award:

• A Pose Proposal and Refinement Network for Better 6D Object Pose Estimation (WACV 2021) [Paper]
  Authors: Ameni Trabelsi, Mohamed Chaabane, Nathaniel Blanchard, Ross Beveridge

Best Student Paper Honorable Mention:

• Meta Module Network for Compositional Visual Reasoning (WACV 2021) [Paper]
  Authors: Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu

Best Papers 2020 [Best Papers] [All Papers]

Best Paper Award:

• Hand-Priming in Object Localization for Assistive Egocentric Vision (WACV 2020) [Paper]
  Authors: Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri

Best Paper Honorable Mention:

• Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison (WACV 2020) [Paper]
  Authors: DONGXU LI, Cristian Rodriguez, Xin Yu, HONGDONG LI

• How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study (WACV 2020) [Paper]
  Authors: Len Du

Best Student Paper Award:

• See the Sound, Hear the Pixels (WACV 2020) [Paper]
  Authors: Janani Ramaswamy, Sukhendu Das

BMVC

Best Papers 2022 [Best Papers] [All Papers]

Best Paper Award:

• Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking (BMVC 2022) [Paper]
  Authors: Alan Lukezic (University of Ljubljana); Žiga Trojer (University of Ljubljana); Jiri Matas (Czech Technical University, Prague); Matej Kristan (University of Ljubljana)

Best Paper Honorable Mention:

• VoRF: Volumetric Relightable Faces (BMVC 2022) [Paper]
  Authors: Pramod Rao (Max Planck Institute for Informatics); Mallikarjun B R (Max Planck Institute for Informatics); Gereon Fox (Max Planck Institute for Informatics); Tim Weyrich (Friedrich-Alexander Universität Erlangen-Nürnberg); Bernd Bickel (IST Austria); Hanspeter Pfister (Harvard University); Wojciech Matusik (MIT); Ayush Tewari (MIT); Christian Theobalt (Max Planck Institute for Informatics); Mohamed Elgharib (Max Planck Institute for Informatics)

Best Student Paper Award:

• Event-based Non-Rigid Reconstruction from Contours (BMVC 2022) [Paper]
  Authors: Yuxuan Xue (Max Planck Institute for Intelligent Systems); Haolong Li (Max Planck Institute for Intelligent Systems); Stefan Leutenegger (TU Munich); Joerg Stueckler (Max Planck Institute for Intelligent Systems)

• In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation (BMVC 2022) [Paper]
  Authors: Bolin Lai (Georgia Institute of Technology); Miao Liu (Georgia Institute of Technology); Fiona Ryan (Georgia Institute of Technology); James Rehg (Georgia Institute of Technology)

Best Student Paper Honorable Mention:

• Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation (BMVC 2022) [Paper]
  Authors: Liang Zeng (Delft University of Technology); Attila Lengyel (Delft University of Technology); Nergis Tomen (Delft University of Technology); Jan C van Gemert (Delft University of Technology)

Best Papers 2021 [Best Papers] [All Papers]

Best Paper Award:

• DISCO: accurate Discrete Scale Convolutions (BMVC 2021) [Paper]
  Authors: Ivan Sosnovik, Artem Moskalev and Arnold W.M. Smeulders

Best Paper Runner Up:

• Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video (BMVC 2021) [Paper]
  Authors: Rishabh Garg, Ruohan Gao and Kristen Grauman

Best Student Paper Award:

• The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021) [Paper]
  Authors: Subhabrata Choudhury, Iro Laina, Christian Rupprecht and Andrea Vedaldi

Best Student Paper Runner Up:

• Few-Shot Domain Adaptation for Low Light RAW Image Enhancement (BMVC 2021) [Paper]
  Authors: Ram K Prabhakar, Vishal Vinod, Nihar R. Sahoo and Venkatesh Babu Radhakrishnan

Best Papers 2020 [Best Papers] [All Papers]

Best Paper Award:

• Delving Deeper into Anti-aliasing in ConvNets (BMVC 2020) [Paper]
  Authors: Xueyan Zou, Fanyi Xiao, Zhiding Yu and Yong Jae Lee

Best Paper Runner Up:

• Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors (BMVC 2020) [Paper]
  Authors: Jeffrey Byrne (STR, Visym Labs), Brian DeCann and Scott Bloom

Best Student Paper Award:

• Video Region Annotation with Sparse Bounding Boxes (BMVC 2020) [Paper]
  Authors: Yuzheng Xu, Yang Wu, Nur Sabrina binti Zuraimi, Shohei Nobuhara and Ko Nishino

Best Student Paper Runner Up:

• Weakly-supervised Salient Instance Detection (BMVC 2020) [Paper]
  Authors: Xin Tian, Ke Xu, Xin Yang, Baocai Yin and Rynson Lau

Best Industry Paper:

• A CNN Based Approach for the Near-Field Photometric Stereo Problem (BMVC 2020) [Paper]
  Authors: Fotios Logothetis, Ignas Budvytis, Roberto Mecca and Roberto Cipolla

Test of Time Papers

CVPR

• Rich feature hierarchies for accurate object detection and semantic segmentation (CVPR 2014) [Paper]
  Authors: Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

• Online Object Tracking: A Benchmark (CVPR 2013) [Paper]
  Authors: Yi Wu, Jongwoo Lim, Ming-Hsuan Yang

• Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite (CVPR 2012) [Paper]
  Authors: Andreas Geiger, Philip Lenz, Raquel Urtasun

• Real-time human pose recognition in parts from single depth image (CVPR 2011) [Paper]
  Authors: Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake

• Baby talk: Understanding and generating simple image descriptions (CVPR 2011) [Paper]
  Authors: Girish Kulkarni, Visruth Premraj, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C Berg, Tamara L Berg

• Secrets of Optical Flow Estimation and Their Principles (CVPR 2010) [Paper]
  Authors: Deqing Sun, Stefan Roth, Michael J. Black

• ImageNet: A large-scale hierarchical image database (CVPR 2009) [Paper]
  Authors: Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li and Li Fei-Fei

• A Discriminatively Trained, Multiscale, Deformable Part Model (CVPR 2008) [Paper]
  Authors: Pedro Felzenszwalb, David McAllester, Deva Ramanan

• Accurate, Dense, and Robust Multi-View Stereopsis (CVPR 2007) [Paper]
  Authors: Yasutaka Furukawa, Jean Ponce

• Object Retrieval with Large Vocabularies and Fast Spatial Matching (CVPR 2007) [Paper]
  Authors: James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman

• Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories (CVPR 2006) [Paper]
  Authors: S. Lazebnik, C. Schmid, J. Ponce

• Scalable Recognition with a Vocabulary Tree (CVPR 2006) [Paper]
  Authors: D. Nister, H. Stewenius

• Histograms of oriented gradients for human detection (CVPR 2005) [Paper]
  Authors: N. Dalal, B. Triggs

• A non-local algorithm for image denoising (CVPR 2005) [Paper]
  Authors: A. Buades, B. Coll, J.-M. Morel

• A performance evaluation of local descriptors (CVPR 2004) [Paper]
  Authors: K. Mikolajczyk, C. Schmid

• Object Class Recognition by Unsupervised Scale-Invariant Learning (CVPR 2003) [Paper]
  Authors: R. Fergus, P. Perona, A. Zisserman

ICLR

• Auto-Encoding Variational Bayes (ICLR 2014) [Paper]
  Authors: Diederik Kingma, Max Welling

• Intriguing properties of neural networks (ICLR 2014) [Paper]
  Authors: Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus

NeurIPS

• Distributed Representations of Words and Phrases and their Compositionality (NeurIPS 2013) [Paper]
  Authors: Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean

• ImageNet Classification with Deep Convolutional Neural Networks (NeurIPS 2012) [Paper]
  Authors: Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton

• HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent (NeurIPS 2011) [Paper]
  Authors: Benjamin Recht, Christopher Re, Stephen Wright, Feng Niu

• Online Learning for Latent Dirichlet Allocation (NeurIPS 2010) [Paper]
  Authors: Matthew Hoffman, David Blei, and Francis Bach

• Dual Averaging Method for Regularized Stochastic Learning and Online Optimization (NeurIPS 2009) [Paper]
  Authors: Lin Xiao

• The Trade-Offs of Large Scale Learning (NeurIPS 2007) [Paper]
  Authors: Leon Bottou, Olivier Bousquet

• Random Features for Large-Scale Kernel Machines (NeurIPS 2007) [Paper]
  Authors: Ali Rahimi, Benjamin Recht

ICCV

• Action Recognition With Improved Trajectories (ICCV 2013) [Paper]
  Authors: H. Wang and C. Schmid

• ORB: An efficient alternative to SIFT or SURF (ICCV 2011) [Paper]
  Authors: E. Rublee, V. Rabaud, K. Konolige, G. Bradski

• HMDB: A large video database for human motion recognition (ICCV 2011) [Paper]
  Authors: H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, T. Serre

• DTAM: Dense tracking and mapping in real-time (ICCV 2011) [Paper]
  Authors: R. Newcombe, S. Lovegrove, A. Davison

• Building Rome in a Day (ICCV 2009) [Paper]
  Authors: S. Agarwal, N. Snavely, I. Simon, S. M. Seitz, R. Szeliski

• Attribute and Simile Classifiers for Face Verification (ICCV 2009) [Paper]
  Authors: N. Kumar, A. C. Berg, P. N. Belhumeur, S. K. Nayar

• Discovering objects and their location in images (ICCV 2005) [Paper]
  Authors: J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman

• The pyramid match kernel: Discriminative classification with sets of image features (ICCV 2005) [Paper]
  Authors: K. Grauman and T. Darrell

• Actions as space-time shapes (ICCV 2005) [Paper]
  Authors: M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri

• Space-time interest points (ICCV 2003) [Paper]
  Authors: I. Laptev and T. Lindeberg

• Recognizing action at a distance (ICCV 2003) [Paper]
  Authors: A. Efros, A. Berg, G. Mori, J. Malik

• Video Google: A text retrieval approach to object matching in videos (ICCV 2003) [Paper]
  Authors: J. Sivic and A. Zisserman

• Recognising panoramas (ICCV 2003) [Paper]
  Authors: M. Brown and D. Lowe

• A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics (ICCV 2001) [Paper]
  Authors: D. Martin, C. Fowlkes, D. Tal, J. Malik

• Matching Shapes (ICCV 2001) [Paper]
  Authors: S. Belongie, J. Malik, J. Puzicha

ICML

• DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (ICML 2014) [Paper]
  Authors: Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

• Learning Fair Representations (ICML 2013) [Paper]
  Authors: Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, Cynthia Dwork

• Poisoning Attacks Against Support Vector Machines (ICML 2012) [Paper]
  Authors: Battista Biggio, Blaine Nelson, Pavel Laskov

• Building high-level features using large scale unsupervised learning (ICML 2012) [Paper]
  Authors: Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg S. Corrado, Jeff Dean, Andrew Y. Ng

• On causal and anticausal learning (ICML 2012) [Paper]
  Authors: Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris Mooij

ECCV

• Microsoft COCO: Common Objects in Context (ECCV 2014) [Paper]
  Authors: Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

• LSD-SLAM: Large-Scale Direct Monocular SLAM (ECCV 2014) [Paper]
  Authors: Jakob Engel, Thomas Schöps, Daniel Cremers

• A Naturalistic Open Source Movie for Optical Flow Evaluation (ECCV 2012) [Paper]
  Authors: D. Butler, J. Wulff, G.Stanley, M. Black

• Indoor Segmentation and Support Inference from RGBD Images (ECCV 2012) [Paper]
  Authors: N. Silberman, D. Hoiem, P. Kohli, R. Fergus

• Improving the Fisher Kernel for Large-Scale Image Classification (ECCV 2010) [Paper]
  Authors: F. Perronnin, J. Sánchez, T. Mensink

• Brief: Binary Robust Independent Elementary Features (ECCV 2010) [Paper]
  Authors: M. Calonder, V. Lepetit, C. Strecha, P. Fua

• Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search (ECCV 2008) [Paper]
  Authors: H. Jegou, M. Douze, and C. Schmid

• Semi-supervised On-Line Boosting for Robust Tracking (ECCV 2008) [Paper]
  Authors: H. Grabner, C. Leistner, and H. Bischof

• Surf: Speeded up robust features (ECCV 2006) [Paper]
  Authors: H. Bay, T. Tuytelaars, L. Van Gool

• Machine learning for high-speed corner detection (ECCV 2006) [Paper]
  Authors: E. Rosten, T. Drummond

• Face Recognition with Local Binary Patterns (ECCV 2004) [Paper]
  Authors: T. Ahonen, A. Hadid, M. Pietikainen

• High Accuracy Optical Flow Estimation Based on a Theory for Warping (ECCV 2004) [Paper]
  Authors: T. Brox, A. Bruhn, N. Papenberg, J. Weickert