Update README.

Update README.

Author: arthurdouillard

README.md

@@ -1,17 +1,75 @@
-# Incremental Learning
+# Incremental Learners for Continual Learning
 
-*Also called lifelong learning, or continual learning.*
+Repository storing all my public works done during my PhD thesis (2019-).
 
-This repository will store all my implementations of Incremental Learning's papers.
+You will find in there both known implementation (iCaRL, etc.) but also all my papers.
+You can find the list of the latter on my [Google Scholar](https://scholar.google.com/citations?user=snwgZBIAAAAJ&hl=en).
 
 ## Structures
 
 Every model must inherit `inclearn.models.base.IncrementalLearner`.
 
-## Papers implemented:
+## Small Task Incremental Learning
 
+Under review, preprint on arXiv [here](https://arxiv.org/abs/2004.13513).
 
+If you use this paper/code in your research, please consider citing us:
 
-## TODO
+```
+@inproceedings{douillard2020podnet,
+    title={Small-Task Incremental Learning},
+    author={Arthur Douillard and Matthieu Cord and Charles Ollion and Thomas Robert and Eduardo Valle},
+    booktitle={arXiv preprint library},
+    year={2020}
+}
+```
 
-- [ ] Add subparser per paper
+To run experiments on CIFAR100 with three different class orders, with the challenging
+setting of 50 steps:
+
+```bash
+python3 -minclearn --options options/podnet/podnet_cnn_cifar100.yaml options/data/cifar100_3orders.yaml \
+    --initial-increment 50 --increment 1 --fixed-memory \
+    --device <GPU_ID> --label podnet_cnn_cifar100_50steps \
+    --data-path <PATH/TO/DATA>
+```
+
+Likewise, for ImageNet100:
+
+```bash
+python3 -minclearn --options options/podnet/podnet_cnn_imagenet100.yaml options/data/imagenet100_1order.yaml \
+    --initial-increment 50 --increment 1 --fixed-memory \
+    --device <GPU_ID> --label podnet_cnn_imagenet100_50steps \
+    --data-path <PATH/TO/DATA>
+```
+
+And ImageNet1000:
+
+Likewise, for ImageNet100:
+
+```bash
+python3 -minclearn --options options/podnet/podnet_cnn_imagenet100.yaml options/data/imagenet1000_1order.yaml \
+    --initial-increment 500 --increment 50 --fixed-memory --memory-size 20000 \
+    --device <GPU_ID> --label podnet_cnn_imagenet1000_10steps \
+    --data-path <PATH/TO/DATA>
+```
+
+Furthermore several options files are available to reproduce the ablations showcased
+in the paper. Please see the directory `./options/podnet/ablations/`.
+
+## Insight From the Future for Continual Learning
+
+Under review, preprint on arXiv [here](https://arxiv.org/abs/2006.13748).
+
+If you use this paper/code in your research, please consider citing us:
+
+```
+@inproceedings{douillard2020ghost,
+    title={Insight From the Future for Continual Learning},
+    author={Arthur Douillard and Eduardo Valle and Charles Ollion and Thomas Robert and Matthieu Cord},
+    booktitle={arXiv preprint library},
+    year={2020}
+}
+```
+
+The code is still very dirty, I'll clean it later. Forgive me.