Update tutorials index

docs/tutorials/index.md

@@ -32,6 +32,13 @@ on a series of books from the [pg19](https://huggingface.co/datasets/pg19) datas
 Compares a host of `posteriors` methods (highlighting the easy exchangeability) on a
 sentiment analysis task adapted from the [Hugging Face tutorial](https://huggingface.co/docs/transformers/training#train-in-native-pytorch).
 
+[<img style="float: right; width: 6em" src="https://storage.googleapis.com/posteriors/cold_posterior_sghmc_loss.png">](https://github.com/normal-computing/posteriors/tree/main/examples/imdb)
+
+- [`imdb`](https://github.com/normal-computing/posteriors/tree/main/examples/imdb): Investigates [cold posterior effect](https://proceedings.mlr.press/v119/wenzel20a/wenzel20a.pdf) for a range of approximate
+Bayesian methods with a CNN-LSTM model on [IMDB](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/imdb/load_data)
+data, with some interesting takeaways.
+
+
 [<img style="float: right; width: 6em" src="https://storage.googleapis.com/posteriors/variational_continual_learning.png">](https://github.com/normal-computing/posteriors/blob/main/examples/continual_regression.ipynb)
 
 - [`continual_regression`](https://github.com/normal-computing/posteriors/blob/main/examples/continual_regression.ipynb):

examples/README.md

@@ -4,6 +4,9 @@ This directory contains examples of how to use the `posteriors` package.
 - [`continual_lora`](continual_lora/): Uses `posteriors.laplace.diag_fisher` to avoid
 catastrophic forgetting in fine-tuning [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 on a series of books from the [pg19](https://huggingface.co/datasets/pg19) dataset.
+- [`imdb`](imdb/): Investigates [cold posterior effect](https://proceedings.mlr.press/v119/wenzel20a/wenzel20a.pdf)
+for a range of approximate Bayesian methods on [IMDB](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/imdb/load_data)
+data.
 - [`yelp`](yelp/): Compares a host of `posteriors` methods (highlighting the easy
 exchangeability) on a sentiment analysis task adapted from the [Hugging Face tutorial](https://huggingface.co/docs/transformers/training#train-in-native-pytorch).
 - [`continual_regression`](continual_regression.ipynb): [Variational continual learning](https://arxiv.org/abs/1710.10628)