Add google SVCCA and Stanford Palliative Care DL

README.md

@@ -5,6 +5,7 @@
 - CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning [[arXiv](https://arxiv.org/abs/1711.05225)] [[article](https://stanfordmlgroup.github.io/projects/chexnet/)]
 - Online Deep Learning: Learning Deep Neural Networks on the Fly [[arXiv](https://arxiv.org/abs/1711.03705)]
 - Learning Explanatory Rules from Noisy Data [[arXiv](https://arxiv.org/abs/1711.04574)]
+- Improving Palliative Care with Deep Learning [[arXiv](https://arxiv.org/abs/1711.06402)] [[article](https://stanfordmlgroup.github.io/projects/improving-palliative-care/)]
 - Weighted Transformer Network for Machine Translation [[arXiv](https://arxiv.org/abs/1711.02132)] [[article](https://einstein.ai/research/weighted-transformer)]
 - Non-Autoregressive Neural Machine Translation [[arXiv](https://arxiv.org/abs/1711.02281)] [[article](https://einstein.ai/research/non-autoregressive-neural-machine-translation)]
 - Block-Sparse Recurrent Neural Networks [[arXiv](https://arxiv.org/abs/1711.02782)]
@@ -142,6 +143,7 @@ Weakly-Supervised Classification and Localization of Common Thorax Diseases [[CV
 - Programmable Agents [[arXiv](https://arxiv.org/abs/1706.06383)]
 - Grounded Language Learning in a Simulated 3D World [[arXiv](https://arxiv.org/abs/1706.06551)]
 - Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics [[arXiv](https://arxiv.org/abs/1706.04317)]
+- SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability [[arXiv](https://arxiv.org/abs/1706.05806)] [[article](https://research.googleblog.com/2017/11/interpreting-deep-neural-networks-with.html)] [[code](https://github.com/google/svcca)]
 - One Model To Learn Them All [[arXiv](https://arxiv.org/abs/1706.05137)] [[code](https://github.com/tensorflow/tensor2tensor)] [[article](https://research.googleblog.com/2017/06/multimodel-multi-task-machine-learning.html)]
 - Hybrid Reward Architecture for Reinforcement Learning [[arXiv](https://arxiv.org/abs/1706.04208)]
 - Expected Policy Gradients [[arXiv](https://arxiv.org/abs/1706.05374)]