Update Denny's Highlighted Research Paper

README.md

@@ -4,10 +4,12 @@
 - Population Based Training of Neural Networks [[arXiv](https://arxiv.org/abs/1711.09846)] [[article](https://deepmind.com/blog/population-based-training-neural-networks/)]
 - Parallel WaveNet: Fast High-Fidelity Speech Synthesis [[DeepMind documents](https://deepmind.com/documents/131/Distilling_WaveNet.pdf)] [[article](https://deepmind.com/blog/high-fidelity-speech-synthesis-wavenet/)]
 - 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/)]
+- Non-local Neural Networks [[arXiv](https://arxiv.org/abs/1711.07971)]
 - Deep Image Prior [[paper](https://sites.skoltech.ru/app/data/uploads/sites/25/2017/11/deep_image_prior.pdf)] [[article](https://dmitryulyanov.github.io/deep_image_prior)] [[code](https://github.com/DmitryUlyanov/deep-image-prior)]
 - 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/)]
+- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [[arXiv](https://arxiv.org/abs/1711.06396)]
 - 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)]
@@ -193,6 +195,7 @@ Weakly-Supervised Classification and Localization of Common Thorax Diseases [[CV
 - Learning to Skim Text [[arXiv](https://arxiv.org/abs/1704.06877)]
 - Get To The Point: Summarization with Pointer-Generator Networks [[arXiv](https://arxiv.org/abs/1704.04368)] [[code](https://github.com/abisee/pointer-generator)] [[article](http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html)]
 - Adversarial Neural Machine Translation [[arXiv](https://arxiv.org/abs/1704.06933)]
+- Deep Q-learning from Demonstrations [[arXiv](https://arxiv.org/abs/1704.03732)]
 - Learning from Demonstrations for Real World Reinforcement Learning [[arXiv](https://arxiv.org/abs/1704.03732)]
 - DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks [[arXiv](https://arxiv.org/abs/1704.02470)] [[article](http://people.ee.ethz.ch/~ihnatova/)] [[code](https://github.com/aiff22/DPED)]
 - A Neural Representation of Sketch Drawings [[arXiv](https://arxiv.org/abs/1704.03477)] [[code](https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn)] [[article](https://research.googleblog.com/2017/04/teaching-machines-to-draw.html)]