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KDD2020 Paper List

论文 作者 组织 摘要 翻译 代码 引用数
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang code 251
Robust Deep Learning Methods for Anomaly Detection Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla code 215
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang code 205
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo code 175
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei code 132
On Sampled Metrics for Item Recommendation Walid Krichene, Steffen Rendle code 128
Towards Deeper Graph Neural Networks Meng Liu, Hongyang Gao, Shuiwang Ji code 126
USAD: UnSupervised Anomaly Detection on Multivariate Time Series Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga code 124
Graph Structure Learning for Robust Graph Neural Networks Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang code 120
LayoutLM: Pre-training of Text and Layout for Document Image Understanding Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou code 116
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann code 111
Embedding-based Retrieval in Facebook Search JuiTing Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, Linjun Yang code 88
Handling Information Loss of Graph Neural Networks for Session-based Recommendation Tianwen Chen, Raymond ChiWing Wong code 87
Context-Aware Attentive Knowledge Tracing Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan code 84
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu, Yuxiao Dong, Kuansan Wang, KaiWei Chang, Yizhou Sun code 80
Geography-Aware Sequential Location Recommendation Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen code 74
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu code 71
Controllable Multi-Interest Framework for Recommendation Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang code 70
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, JiRong Wen, Jingsong Yu code 69
DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, Yuxiong He code 62
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu code 60
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial code 58
ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps Xiaomin Fang, Jizhou Huang, Fan Wang, Lingke Zeng, Haijin Liang, Haifeng Wang code 57
XGNN: Towards Model-Level Explanations of Graph Neural Networks Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji code 54
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu code 53
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems Khalil Muhammad, Qinqin Wang, Diarmuid O'ReillyMorgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor code 53
Taming Pretrained Transformers for Extreme Multi-label Text Classification WeiCheng Chang, HsiangFu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon code 53
Disentangled Self-Supervision in Sequential Recommenders Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu code 52
Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Yibo Sun, Ying Li code 52
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation Yuanfu Lu, Yuan Fang, Chuan Shi code 50
Interactive Path Reasoning on Graph for Conversational Recommendation Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, TatSeng Chua code 49
Understanding Negative Sampling in Graph Representation Learning Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang code 48
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang code 48
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma code 46
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang, Fei Wang code 44
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu code 43
Dual Channel Hypergraph Collaborative Filtering Shuyi Ji, Yifan Feng, Rongrong Ji, Xibin Zhao, Wanwan Tang, Yue Gao code 43
Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data Rui Dai, Shenkun Xu, Qian Gu, Chenguang Ji, Kaikui Liu code 41
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee code 39
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates code 38
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival Huiting Hong, Yucheng Lin, Xiaoqing Yang, Zang Li, Kun Fu, Zheng Wang, Xiaohu Qie, Jieping Ye code 36
Jointly Learning to Recommend and Advertise Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang code 36
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee code 36
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu code 35
Neural Input Search for Large Scale Recommendation Models Manas R. Joglekar, Cong Li, Mei Chen, Taibai Xu, Xiaoming Wang, Jay K. Adams, Pranav Khaitan, Jiahui Liu, Quoc V. Le code 35
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu code 34
Evaluating Conversational Recommender Systems via User Simulation Shuo Zhang, Krisztian Balog code 33
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng code 32
A Data-Driven Graph Generative Model for Temporal Interaction Networks Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He code 32
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola code 31
Learning to Simulate Human Mobility Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li code 31
Overview and Importance of Data Quality for Machine Learning Tasks Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala code 30
NodeAug: Semi-Supervised Node Classification with Data Augmentation Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi code 30
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan code 26
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han code 25
Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery Lin Zhu, Wei Yu, Kairong Zhou, Xing Wang, Wenxing Feng, Pengyu Wang, Ning Chen, Pei Lee code 25
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, TieYan Liu code 25
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec code 24
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook code 24
Robust Spammer Detection by Nash Reinforcement Learning Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie code 23
Graph Structural-topic Neural Network Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin code 23
Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach Lu Duan, Yang Zhan, Haoyuan Hu, Yu Gong, Jiangwen Wei, Xiaodong Zhang, Yinghui Xu code 23
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, XiaoMing Wu code 22
Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu code 22
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo code 22
Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye code 22
Combo-Attention Network for Baidu Video Advertising Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li code 21
CompactETA: A Fast Inference System for Travel Time Prediction Kun Fu, Fanlin Meng, Jieping Ye, Zheng Wang code 21
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen, Quanquan Gu code 20
WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams Jizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang, Bin Cui, Yafei Dai, Gong Zhang code 20
Fraud Transactions Detection via Behavior Tree with Local Intention Calibration Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang code 20
InFoRM: Individual Fairness on Graph Mining Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong code 20
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang code 20
Data-driven Simulation and Optimization for Covid-19 Exit Strategies Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon code 20
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec code 19
Bandit based Optimization of Multiple Objectives on a Music Streaming Platform Rishabh Mehrotra, Niannan Xue, Mounia Lalmas code 19
HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi code 19
HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness Jiayi Chen, Aidong Zhang code 19
DeepSinger: Singing Voice Synthesis with Data Mined From the Web Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, TieYan Liu code 19
Comprehensive Information Integration Modeling Framework for Video Titling Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu code 19
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun code 18
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems HaoJun Michael Shi, Dheevatsa Mudigere, Maxim Naumov, Jiyan Yang code 18
Temporal-Contextual Recommendation in Real-Time Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding code 18
Aligning Superhuman AI with Human Behavior: Chess as a Model System Reid McIlroyYoung, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson code 18
Structural Patterns and Generative Models of Real-world Hypergraphs Manh Tuan Do, Seeun Yoon, Bryan Hooi, Kijung Shin code 18
Redundancy-Free Computation for Graph Neural Networks Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken code 18
Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun code 18
Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen code 18
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen code 17
Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang code 17
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang code 17
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, HawShiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han code 17
Attention based Multi-Modal New Product Sales Time-series Forecasting Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar code 17
Local Community Detection in Multiple Networks Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang code 17
Policy-GNN: Aggregation Optimization for Graph Neural Networks KweiHerng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu code 17
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, JaeGil Lee code 17
GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce Sean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Edward Pizzi, M. Henning, Karun Singh, Omkar Parkhi, Fedor Borisyuk code 16
Multitask Mixture of Sequential Experts for User Activity Streams Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin code 16
Competitive Analysis for Points of Interest Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong code 16
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Weilin Cong, Rana Forsati, Mahmut T. Kandemir, Mehrdad Mahdavi code 16
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang code 16
Fairness in Machine Learning for Healthcare Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai code 16
Deep Learning of High-Order Interactions for Protein Interface Prediction Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji code 16
Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang code 16
Neural Subgraph Isomorphism Counting Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang code 16
Contagious Chain Risk Rating for Networked-guarantee Loans Dawei Cheng, Zhibin Niu, Yiyi Zhang code 16
Interleaved Sequence RNNs for Fraud Detection Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro code 16
Explainable Classification of Brain Networks via Contrast Subgraphs Tommaso Lanciano, Francesco Bonchi, Aristides Gionis code 16
Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data Qianyue Hao, Lin Chen, Fengli Xu, Yong Li code 16
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun code 15
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates code 15
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla code 15
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov code 15
SSumM: Sparse Summarization of Massive Graphs Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin code 15
Incremental Lossless Graph Summarization Jihoon Ko, Yunbum Kook, Kijung Shin code 15
Vamsa: Automated Provenance Tracking in Data Science Scripts Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer code 15
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han code 15
Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng code 15
Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Ying Li code 14
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette code 14
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu, Jon Elsas code 14
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation Wenhui Yu, Xiao Lin, Junfeng Ge, Wenwu Ou, Zheng Qin code 14
Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI): A Simple Method to Identify Important Spectral Features of EEG in Deep Learning Models David O. Nahmias, Kimberly L. Kontson code 14
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction Thai Le, Suhang Wang, Dongwon Lee code 14
Towards Fair Truth Discovery from Biased Crowdsourced Answers Yanying Li, Haipei Sun, Wendy Hui Wang code 14
INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson code 14
Missing Value Imputation for Mixed Data via Gaussian Copula Yuxuan Zhao, Madeleine Udell code 14
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu code 14
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo code 14
Privileged Features Distillation at Taobao Recommendations Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou code 13
Personalized PageRank to a Target Node, Revisited Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang code 13
General-Purpose User Embeddings based on Mobile App Usage Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang code 13
Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai code 13
Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection Kai Ming Ting, BiCun Xu, Takashi Washio, ZhiHua Zhou code 13
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang code 13
Dynamic Knowledge Graph based Multi-Event Forecasting Songgaojun Deng, Huzefa Rangwala, Yue Ning code 13
Unsupervised Paraphrasing via Deep Reinforcement Learning A. B. Siddique, Samet Oymak, Vagelis Hristidis code 13
Deep Graph Learning: Foundations, Advances and Applications Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma code 13
Improving Deep Learning for Airbnb Search Malay Haldar, Prashant Ramanathan, Tyler Sax, Mustafa Abdool, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Bradley C. Turnbull, Junshuo Liao code 12
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism Gengyu Lyu, Songhe Feng, Yidong Li code 12
Attention and Memory-Augmented Networks for Dual-View Sequential Learning Yong He, Cheng Wang, Nan Li, Zhenyu Zeng code 12
Delivery Scope: A New Way of Restaurant Retrieval for On-demand Food Delivery Service Xuetao Ding, Runfeng Zhang, Zhen Mao, Ke Xing, Fangxiao Du, Xingyu Liu, Guoxing Wei, Feifan Yin, Renqing He, Zhizhao Sun code 12
Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades Francesco Ducci, Mathias Kraus, Stefan Feuerriegel code 12
Local Motif Clustering on Time-Evolving Graphs Dongqi Fu, Dawei Zhou, Jingrui He code 12
Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning JingHan Wu, Xuan Wu, QingGuo Chen, Yao Hu, MinLing Zhang code 12
Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jeffrey Xu Yu, Jianxin Li code 12
TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang code 12
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy code 12
Debiasing Grid-based Product Search in E-commerce Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu code 11
On Sampling Top-K Recommendation Evaluation Dong Li, Ruoming Jin, Jing Gao, Zhi Liu code 11
Ads Allocation in Feed via Constrained Optimization Jinyun Yan, Zhiyuan Xu, Birjodh Tiwana, Shaunak Chatterjee code 11
OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui code 11
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz code 11
Higher-order Clustering in Complex Heterogeneous Networks Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh code 11
Truth Discovery against Strategic Sybil Attack in Crowdsourcing Yue Wang, Ke Wang, Chunyan Miao code 11
Hierarchical Attention Propagation for Healthcare Representation Learning Muhan Zhang, Christopher Ryan King, Michael Avidan, Yixin Chen code 11
Correlation Networks for Extreme Multi-label Text Classification Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang code 11
Predicting Temporal Sets with Deep Neural Networks Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv code 11
Minimizing Localized Ratio Cut Objectives in Hypergraphs Nate Veldt, Austin R. Benson, Jon M. Kleinberg code 11
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach code 11
Personalized Image Retrieval with Sparse Graph Representation Learning Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar code 10
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain code 10
Time-Aware User Embeddings as a Service Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic code 10
Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations Jixing Xu, Zhenlong Zhu, Jianxin Zhao, Xuanye Liu, Minghui Shan, Jiecheng Guo code 10
Hypergraph Clustering Based on PageRank Yuuki Takai, Atsushi Miyauchi, Masahiro Ikeda, Yuichi Yoshida code 10
To Tune or Not to Tune?: In Search of Optimal Configurations for Data Analytics Ayat Fekry, Lucian Carata, Thomas F. J.M. Pasquier, Andrew Rice, Andy Hopper code 10
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction Haoxing Lin, Rufan Bai, Weijia Jia, Xinyu Yang, Yongjian You code 10
Large-Scale Training System for 100-Million Classification at Alibaba Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin code 10
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest Raymond Shiau, HaoYu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai code 10
Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges Rich Caruana, Scott M. Lundberg, Marco Túlio Ribeiro, Harsha Nori, Samuel Jenkins code 10
Malicious Attacks against Deep Reinforcement Learning Interpretations Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang code 10
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos code 10
Mining Persistent Activity in Continually Evolving Networks Caleb Belth, Xinyi Zheng, Danai Koutra code 10
NetTrans: Neural Cross-Network Transformation Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu code 10
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata code 10
AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell code 10
Evaluating Fairness Using Permutation Tests Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal code 10
Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti, Tanmoy Chakraborty code 10
Grale: Designing Networks for Graph Learning Jonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi code 10
BusTr: Predicting Bus Travel Times from Real-Time Traffic Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu code 10
Hypergraph Convolutional Recurrent Neural Network Jaehyuk Yi, Jinkyoo Park code 10
GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases Zongyue Qin, Yunsheng Bai, Yizhou Sun code 9
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity Sudhanshu Chanpuriya, Cameron Musco code 9
Unsupervised Differentiable Multi-aspect Network Embedding Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han code 9
Category-Specific CNN for Visual-aware CTR Prediction at JD.com Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan code 9
Off-policy Bandits with Deficient Support Noveen Sachdeva, Yi Su, Thorsten Joachims code 9
Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui code 9
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping Susik Yoon, JaeGil Lee, Byung Suk Lee code 9
Multimodal Learning with Incomplete Modalities by Knowledge Distillation Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou code 9
Causal Inference Meets Machine Learning Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao code 9
No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity Caitlin Kuhlman, Latifa Jackson, Rumi Chunara code 9
Neural Dynamics on Complex Networks Chengxi Zang, Fei Wang code 9
Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations Daniel Zügner, Stephan Günnemann code 9
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun code 9
RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning Diya Li, Mohammed J. Zaki code 9
Graph Attention Networks over Edge Content-Based Channels Lu Lin, Hongning Wang code 9
Algorithmic Aspects of Temporal Betweenness Sebastian Buß, Hendrik Molter, Rolf Niedermeier, Maciej Rymar code 9
Algorithmic Decision Making with Conditional Fairness Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui code 9
REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang code 9
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju code 9
SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin code 8
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection Sundong Kim, YuChe Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, ChengTe Li, Meeyoung Cha code 8
AdvMind: Inferring Adversary Intent of Black-Box Attacks Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang code 8
Building Continuous Integration Services for Machine Learning Bojan Karlas, Matteo Interlandi, Cédric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer code 8
Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms Alireza Abdoli, Sara Alaee, Shima Imani, Amy C. Murillo, Alec C. Gerry, Leslie Hickle, Eamonn J. Keogh code 8
How to Count Triangles, without Seeing the Whole Graph Suman K. Bera, C. Seshadhri code 8
Residual Correlation in Graph Neural Network Regression Junteng Jia, Austin R. Benson code 8
Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data Kenta Niwa, Noboru Harada, Guoqiang Zhang, W. Bastiaan Kleijn code 8
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo code 8
Interpretable Deep Graph Generation with Node-edge Co-disentanglement Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye code 8
TinyGNN: Learning Efficient Graph Neural Networks Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou code 8
Stable Learning via Differentiated Variable Decorrelation Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen code 8
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong code 8
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Nemanja Djuric code 8
Faster Secure Data Mining via Distributed Homomorphic Encryption Junyi Li, Heng Huang code 8
Learning to Score Economic Development from Satellite Imagery Sungwon Han, Donghyun Ahn, Sungwon Park, Jeasurk Yang, Susang Lee, Jihee Kim, Hyunjoo Yang, Sangyoon Park, Meeyoung Cha code 8
CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning Xin Huang, Jangsoo Lee, YoungWoo Kwon, ChulHo Lee code 8
Managing Diversity in Airbnb Search Mustafa Abdool, Malay Haldar, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Manaswala, Lynn Yang, Bradley C. Turnbull, Qing Zhang, Thomas Legrand code 7
Semantic Search in Millions of Equations Lukas Pfahler, Katharina Morik code 7
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile code 7
Improving Recommendation Quality in Google Drive Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso code 7
Estimating Properties of Social Networks via Random Walk considering Private Nodes Kazuki Nakajima, Kazuyuki Shudo code 7
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han code 7
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani code 7
Rethinking Pruning for Accelerating Deep Inference At the Edge Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele code 7
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin code 7
Multi-Class Data Description for Out-of-distribution Detection Dongha Lee, Sehun Yu, Hwanjo Yu code 7
Hyperbolic Distance Matrices Puoya Tabaghi, Ivan Dokmanic code 7
Molecular Inverse-Design Platform for Material Industries Seiji Takeda, Toshiyuki Hama, HsiangHan Hsu, Victoria A. Piunova, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Makoto Kogoh, Takumi Hongo, Yenwei Cheng, Wolf Bocanett, Hideaki Nakashika, Akihiro Fujita, Yuta Tsuchiya, Katsuhiko Hino, Kentaro Yano, Shuichi Hirose, Hiroki Toda, Yasumitsu Orii, Daiju Nakano code 7
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang code 7
Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye code 7
Data Pricing - From Economics to Data Science Jian Pei code 7
Deep Learning for Industrial AI: Challenges, New Methods and Best Practices Chetan Gupta, Ahmed K. Farahat code 7
The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments Shengmin Jin, Reza Zafarani code 6
TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook Nima Noorshams, Saurabh Verma, Aude Hofleitner code 6
Deep Learning for Search and Recommender Systems in Practice Zhoutong Fu, Huiji Gao, Weiwei Guo, Sandeep Kumar Jha, Jun Jia, Xiaowei Liu, Bo Long, Jun Shi, Sida Wang, Mingzhou Zhou code 6
Spectrum-Guided Adversarial Disparity Learning Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang code 6
Joint Policy-Value Learning for Recommendation Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire code 6
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao code 6
TranSlider: Transfer Ensemble Learning from Exploitation to Exploration Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang code 6
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Jingyuan Wang, Yufan Wu, Mingxuan Li, Xin Lin, Junjie Wu, Chao Li code 6
Kronecker Attention Networks Hongyang Gao, Zhengyang Wang, Shuiwang Ji code 6
Adversarial Infidelity Learning for Model Interpretation Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang code 6
Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System Yipeng Zhang, Bo Du, Lefei Zhang, Jia Wu code 6
Learning Opinion Dynamics From Social Traces Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi code 6
Diverse Rule Sets Guangyi Zhang, Aristides Gionis code 6
Scaling Choice Models of Relational Social Data Jan Overgoor, George Pakapol Supaniratisai, Johan Ugander code 6
Pest Management In Cotton Farms: An AI-System Case Study from the Global South Aman Dalmia, Jerome White, Ankit Chaurasia, Vishal Agarwal, Rajesh Jain, Dhruvin Vora, Balasaheb Dhame, Raghu Dharmaraju, Rahul Panicker code 6
Recent Advances on Graph Analytics and Its Applications in Healthcare Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang code 6
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19 Iris Shen, Le Zhang, Jianxun Lian, ChiehHan Wu, Miguel GonzálezFierro, Andreas Argyriou, Tao Wu code 5
Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems Zhenxin Fu, Shaobo Cui, Mingyue Shang, Feng Ji, Dongyan Zhao, Haiqing Chen, Rui Yan code 5
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato code 5
Meta-Learning for Query Conceptualization at Web Scale Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long code 5
CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams Tomas Martin, Guy Francoeur, Petko Valtchev code 5
Generic Outlier Detection in Multi-Armed Bandit Yikun Ban, Jingrui He code 5
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci code 5
Prioritized Restreaming Algorithms for Balanced Graph Partitioning Amel Awadelkarim, Johan Ugander code 5
Cracking the Black Box: Distilling Deep Sports Analytics Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu code 5
Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu code 5
Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals Zed Lee, Tony Lindgren, Panagiotis Papapetrou code 5
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks Wei Wen, Feng Yan, Yiran Chen, Hai Li code 5
Recurrent Halting Chain for Early Multi-label Classification Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner code 5
Attackability Characterization of Adversarial Evasion Attack on Discrete Data Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang code 5
Measuring Model Complexity of Neural Networks with Curve Activation Functions Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei code 5
Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC Yuichiro Ueno, Kazuki Osawa, Yohei Tsuji, Akira Naruse, Rio Yokota code 5
Geodemographic Influence Maximization Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, Hui Xiong code 5
Forecasting the Evolution of Hydropower Generation Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu code 5
Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika BarmanAdhikari, Amulya Yadav code 5
Prediction of Hourly Earnings and Completion Time on a Crowdsourcing Platform Anna Lioznova, Alexey Drutsa, Vladimir Kukushkin, Anastasia A. Bezzubtseva code 5
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images Zekun Li, YaoYi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock code 5
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar code 5
Toward Responsible AI by Planning to Fail Saleema Amershi code 5
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi code 4
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu code 4
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization Gordon Euhyun Moon, J. Austin Ellis, Aravind SukumaranRajam, Srinivasan Parthasarathy, P. Sadayappan code 4
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon code 4
Re-identification Attack to Privacy-Preserving Data Analysis with Noisy Sample-Mean Du Su, Hieu Tri Huynh, Ziao Chen, Yi Lu, Wenmiao Lu code 4
Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as Case Study) Sharanya Eswaran, Mridul Sachdeva, Vikram Vimal, Deepanshi Seth, Suhaas Kalpam, Sanjay Agarwal, Tridib Mukherjee, Samrat Dattagupta code 4
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning Timnit Gebru code 4
Laplacian Change Point Detection for Dynamic Graphs Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany code 4
Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong code 4
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift LanZhe Guo, Zhi Zhou, YuFeng Li code 4
Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data Fengli Xu, Yong Li, Shusheng Xu code 4
Hubble: An Industrial System for Audience Expansion in Mobile Marketing Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi code 4
CLARA: Confidence of Labels and Raters VietAn Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris code 4
Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications Jamie Pool, Ebrahim Beyrami, Vishak Gopal, Ashkan Aazami, Jayant Gupchup, Jeff Rowland, Binlong Li, Pritesh Kanani, Ross Cutler, Johannes Gehrke code 4
A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation Hong Zhang, Lan Zhang, Lan Xu, Xiaoyang Ma, Zhengtao Wu, Cong Tang, Wei Xu, Yiguo Yang code 4
Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases Shaon Bhatta Shuvo, Bonaventure C. Molokwu, Ziad Kobti code 4
Adversarial Attacks and Defenses: Frontiers, Advances and Practice Han Xu, Yaxin Li, Wei Jin, Jiliang Tang code 4
Edge AI: Systems Design and ML for IoT Data Analytics Radu Marculescu, Diana Marculescu, Ümit Y. Ogras code 4
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective Yifei Zhao, YuHang Zhou, Mingdong Ou, Huan Xu, Nan Li code 3
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel code 3
MinSearch: An Efficient Algorithm for Similarity Search under Edit Distance Haoyu Zhang, Qin Zhang code 3
Kernel Assisted Learning for Personalized Dose Finding Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song code 3
Efficient Algorithm for the b-Matching Graph Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda code 3
Multi-objective Optimization for Guaranteed Delivery in Video Service Platform Hang Lei, Yin Zhao, Longjun Cai code 3
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong code 3
The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness Mariya I. Vasileva code 3
Catalysis Clustering with GAN by Incorporating Domain Knowledge Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen code 3
Non-Linear Mining of Social Activities in Tensor Streams Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai code 3
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei code 3
Bootstrapping Complete The Look at Pinterest Eileen Li, Eric Kim, Andrew Zhai, Josh Beal, Kunlong Gu code 3
Preserving Integrity in Online Social Media Alon Y. Halevy code 3
Imputing Various Incomplete Attributes via Distance Likelihood Maximization Shaoxu Song, Yu Sun code 3
Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness Makoto Imamura, Takaaki Nakamura, Eamonn J. Keogh code 3
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning Claudia Plant, Sonja Biedermann, Christian Böhm code 3
HOPS: Probabilistic Subtree Mining for Small and Large Graphs Pascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel code 3
Deep State-Space Generative Model For Correlated Time-to-Event Predictions Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui code 3
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs Nate Veldt, Anthony Wirth, David F. Gleich code 3
Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso code 3
Map Generation from Large Scale Incomplete and Inaccurate Data Labels Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu code 3
Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, Ping Luo code 3
City Metro Network Expansion with Reinforcement Learning Yu Wei, Minjia Mao, Xi Zhao, Jianhua Zou, Ping An code 3
Salience and Market-aware Skill Extraction for Job Targeting Baoxu Shi, Jaewon Yang, Feng Guo, Qi He code 3
Introduction to Computer Vision and Real Time Deep Learning-based Object Detection James G. Shanahan, Liang Dai code 3
Scientific Text Mining and Knowledge Graphs Meng Jiang, Jingbo Shang code 3
Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data Jaesik Choi code 3
Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach Di Yin, Jiwei Tan, Zhe Zhang, Hongbo Deng, Shujian Huang, Jiajun Chen code 2
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang code 2
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou code 2
Average Sensitivity of Spectral Clustering Pan Peng, Yuichi Yoshida code 2
Image and Video Understanding for Recommendation and Spam Detection Systems Aman Gupta, Sirjan Kafle, Di Wen, Dylan Wang, Sumit Srivastava, Suhit Sinha, Nikita Gupta, Bharat Jain, Ananth Sankar, Liang Zhang code 2
Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory Alane M. de Lima, Murilo V. G. da Silva, André Luís Vignatti code 2
Learning Stable Graphs from Multiple Environments with Selection Bias Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu code 2
A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo code 2
From Zero to AI Hero with Automated Machine Learning Aniththa Umamahesan, Deepak Mukunthu Iyappan Babu code 2
Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data Jonas Mueller, Xingjian Shi, Alexander J. Smola code 2
A Block Decomposition Algorithm for Sparse Optimization Ganzhao Yuan, Li Shen, WeiShi Zheng code 2
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang code 2
Geodesic Forests Meghana Madhyastha, Gongkai Li, Veronika StrnadováNeeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe code 2
Targeted Data-driven Regularization for Out-of-Distribution Generalization Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang code 2
Grammatically Recognizing Images with Tree Convolution Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin code 2
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian code 2
A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding code 2
In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo code 2
Discovering Functional Dependencies from Mixed-Type Data Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken code 2
Statistically Significant Pattern Mining with Ordinal Utility Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma code 2
Combinatorial Black-Box Optimization with Expert Advice Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan code 2
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes Soorajnath Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag code 2
Tight Sensitivity Bounds For Smaller Coresets Alaa Maalouf, Adiel Statman, Dan Feldman code 2
Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation Vladislav Polianskii, Florian T. Pokorny code 2
Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning Jing Lei, Nasrin Akhter, Wanli Qiao, Amarda Shehu code 2
Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri code 2
Physics Inspired Models in Artificial Intelligence Muhammad Aurangzeb Ahmad, Sener Özönder code 2
Learning with Small Data Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li code 2
Recent Advances in Multimodal Educational Data Mining in K-12 Education Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin code 2
Data Sketching for Real Time Analytics: Theory and Practice Daniel Ting, Jonathan Malkin, Lee Rhodes code 2
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester code 1
Discovering Approximate Functional Dependencies using Smoothed Mutual Information Frédéric Pennerath, Panagiotis Mandros, Jilles Vreeken code 1
Building Recommender Systems with PyTorch Dheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami code 1
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis Yu Meng, Jiaxin Huang, Jiawei Han code 1
Tutorial on Online User Engagement: Metrics and Optimization Liangjie Hong, Mounia Lalmas code 1
Learning by Exploration: New Challenges in Real-World Environments Qingyun Wu, Huazheng Wang, Hongning Wang code 1
Recurrent Networks for Guided Multi-Attention Classification Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore code 1
Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods Aritra Konar, Nicholas D. Sidiropoulos code 1
Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity Jonas Fischer, Jilles Vreeken code 1
A Causal Look at Statistical Definitions of Discrimination Elias Chaibub Neto code 1
Block Model Guided Unsupervised Feature Selection Zilong Bai, Hoa Nguyen, Ian Davidson code 1
List-wise Fairness Criterion for Point Processes Jin Shang, Mingxuan Sun, Nina S.N. Lam code 1
Learning Based Distributed Tracking Hao Wu, Junhao Gan, Rui Zhang code 1
Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps Ata Akbari Asanjan, Kamalika Das, Alan S. Li, Ved Chirayath, Juan TorresPerez, Soroosh Sorooshian code 1
Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong code 1
Balanced Order Batching with Task-Oriented Graph Clustering Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu code 1
Price Investment using Prescriptive Analytics and Optimization in Retail Prakhar Mehrotra, Linsey Pang, Karthick Gopalswamy, Avinash Thangali, Timothy Winters, Ketki Gupte, Dnyanesh Kulkarni, Sunil Potnuru, Supreeth Shastry, Harshada Vuyyuri code 1
Put Deep Learning to Work: Accelerate Deep Learning through Amazon SageMaker and ML Services Wenming Ye, Rachel Hu, Miro Enev code 1
How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca code 1
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Computer Vision: Deep Dive into Object Segmentation Approaches Yuanbo Wang, Osama Sakhi, Ala Eddine Ayadi, Matthew S. Hagen, Estelle Afshar code 1
Scalable Graph Neural Networks with Deep Graph Library Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis code 1
Multi-modal Network Representation Learning Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla code 1
Deep Learning for Anomaly Detection Ruoying Wang, Kexin Nie, YenJung Chang, Xinwei Gong, Tie Wang, Yang Yang, Bo Long code 1
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The Illusion of Inclusion: Large Scale Genomic Data Sovereignty and Indigenous Populations Keolu Fox code 1
Artificial Intelligence for Healthcare Dorin Comaniciu code 1
Unleashing the Power of Subjective Data: Managing Experiences as First-Class Citizens WangChiew Tan code 1
Data Paucity and Low Resource Scenarios: Challenges and Opportunities Mona T. Diab code 1
Directional Multivariate Ranking Nan Wang, Hongning Wang code 0
WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better Accuracy Syeda Nahida Akter, Muhammad Abdullah Adnan code 0
Representing Temporal Attributes for Schema Matching Yinan Mei, Shaoxu Song, Yunsu Lee, Jungho Park, SooHyung Kim, Sungmin Yi code 0
The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver Anton Zhernov, Krishnamurthy (Dj) Dvijotham, Ivan Lobov, Dan A. Calian, Michelle X. Gong, Natarajan Chandrashekar, Timothy A. Mann code 0
Fighting a Pandemic: Convergence of Expertise, Data Science and Policy Tina EliassiRad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu code 0
User Sentiment as a Success Metric: Persistent Biases Under Full Randomization Ercan Yildiz, Joshua Safyan, Marc Harper code 0
From Online to Non-i.i.d. Batch Learning Yufei Tao, Shangqi Lu code 0
Prediction and Profiling of Audience Competition for Online Television Series Peng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang code 0
A Geometric Approach to Predicting Bounds of Downstream Model Performance Brian J. Goode, Debanjan Datta code 0
Domain Specific Knowledge Graphs as a Service to the Public: Powering Social-Impact Funding in the US Ying Li, Vitalii Zakhozhyi, Daniel Zhu, Luis J. Salazar code 0
A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications Kevin P. Yancey, Burr Settles code 0
Building Forecasting Solutions Using Open-Source and Azure Machine Learning Chenhui Hu, Vanja Paunic code 0
Learning from All Types of Experiences: A Unifying Machine Learning Perspective Zhiting Hu, Eric P. Xing code 0
Accessible Online Meetings and Presentations Brianna Blaser code 0
Using Machine Learning to Detect Cancer Early Jan Schellenberger code 0
Build the State-of-the-Art Machine Learning Technology for the Crypto Economy Michael Li, Catalin Tiseanu, Burkay Gur code 0
Multimodal Machine Learning for Video and Image Analysis Shalini Ghosh code 0
AI for Intelligent Financial Services: Examples and Discussion Manuela Veloso code 0
Keynote Speaker: Emery N. Brown Emery N. Brown code 0
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Heidegger: Interpretable Temporal Causal Discovery Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester code 0
A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components Yuantong Li, Qi Ma, Sujit K. Ghosh code 0
Sub-Matrix Factorization for Real-Time Vote Prediction Alexander Immer, Victor Kristof, Matthias Grossglauser, Patrick Thiran code 0
What is that Building?: An End-to-end System for Building Recognition from Streetside Images Chiqun Zhang, Dragomir Yankov, ChunTing Wu, Simon Shapiro, Jason Hong, Wei Wu code 0
Acoustic Measures for Real-Time Voice Coaching Ying Li, Abraham Miller, Arthur Liu, Kyle Coburn, Luis J. Salazar code 0
Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services Shuai Zhao, WenLing Hsu, George Ma, Tan Xu, Guy Jacobson, Raif M. Rustamov code 0
DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services Phuong Pham, Vivek Jain, Lukas Dauterman, Justin Ormont, Navendu Jain code 0
Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization Rishabh Mehrotra, Ashish Gupta code 0
Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS Bartley Richardson, Bradley Rees, Tom Drabas, Even Oldridge, David A. Bader, Rachel Allen code 0
Tutorial on Human-Centered Explainability for Healthcare Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel Gruen, Kenney Ng, Daby Sow, Kush R. Varshney code 0
Data Science for the Real Estate Industry Ron Bekkerman, Vanja Josifovski, Foster J. Provost code 0
Data-Driven Never-Ending Learning Question Answering Systems Estevam R. Hruschka Jr. code 0
Diversity and Inclusion, a Perspective from a Four Years MSI Faculty Member Eliana Valenzuela Andrade code 0
How Can Computer Science Education Address Inequities Manuel A. PérezQuiñones code 0
Support for Diverse Students Daniel A. Jiménez code 0
Broadening Participation in Technology Policy Brianna B. Posadas code 0
Perspectives on Broadening Participation in STEM Careers across Academia, Government, and Industry Hasan Jackson code 0
Models of Data Governance and Advancing Indigenous Genomic Data Sovereignty Krystal S. Tsosie code 0
Mutually Beneficial Collaborations to Broaden Participation of Hispanics in Data Science Patricia Ordóñez Franco code 0
Bringing Inclusive Diversity to Data Science: Opportunities and Challenges Heriberto Acosta Maestre code 0
The Data Science Mentoring Fire Next Time: Innovative Strategies for Mentoring in Data Science Latifa Jackson, Heriberto Acosta Maestre code 0
Straddling the Boundary between Contribution and Solution Driven Science Daniel Marcu code 0
How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis Nhung Ho code 0
Innovating with Language AI Ashwin Ram code 0