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Date	Name	Paper number	Title	Link to the paper	Link to the summary
Feb 15 (example)	Ri Wang		Sequence to sequence learning with neural networks.	Paper	[Summary]
Oct 25	Dhruv Kumar	1	Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs	Paper	Summary
Oct 25	Amirpasha Ghabussi	2	DCN+: Mixed Objective And Deep Residual Coattention for Question Answering	Paper	Summary
Oct 25	Juan Carrillo	3	Hierarchical Representations for Efficient Architecture Search	Paper	Summary
Oct 30	Manpreet Singh Minhas	1	End-to-end Active Object Tracking via Reinforcement Learning	Paper	Summary
Oct 30	Marvin Pafla	2	Fairness Without Demographics in Repeated Loss Minimization	Paper	Summary
Oct 30	Glen Chalatov	3	Pixels to Graphs by Associative Embedding	Paper	Summary
Nov 1	Sriram Ganapathi Subramanian	1	Differentiable plasticity: training plastic neural networks with backpropagation	Paper	Summary
Nov 1	Hadi Nekoei	1	Synthesizing Programs for Images using Reinforced Adversarial Learning	Paper	Summary
Nov 1	Henry Chen	1	DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks	Paper
Nov 6	Nargess Heydari	2	Wavelet Pooling For Convolutional Neural Networks Networks	Paper
Nov 6	Aravind Ravi	3	Towards Image Understanding from Deep Compression Without Decoding	Paper
Nov 6	Ronald Feng	1	Learning to Teach	Paper
Nov 8	Neel Bhatt	1	Annotating Object Instances with a Polygon-RNN	Paper
Nov 8	Jacob Manuel	2
Nov 8	Charupriya Sharma	2
NOv 13	Sagar Rajendran	1	Zero-Shot Visual Imitation	Paper
Nov 13	Jiazhen Chen	2
Nov 13	Neil Budnarain	2	PixelNN: Example-Based Image Synthesis	Paper
NOv 15	Zheng Ma	3	Reinforcement Learning of Theorem Proving	Paper
Nov 15	Abdul Khader Naik	4
Nov 15	Johra Muhammad Moosa	2	Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin	Paper
NOv 20	Zahra Rezapour Siahgourabi	1
Nov 20	Shubham Koundinya	6
Nov 20	Salman Khan		Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples	paper
NOv 22	Soroush Ameli	3	Learning to Navigate in Cities Without a Map	paper
Nov 22	Ivan Li	23	Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate	Paper
Nov 22	Sigeng Chen	2
Nov 27	Aileen Li	8	Spatially Transformed Adversarial Examples	Paper
NOv 27	Xudong Peng	9	Multi-Scale Dense Networks for Resource Efficient Image Classification	Paper
Nov 27	Xinyue Zhang	10	An Inference-Based Policy Gradient Method for Learning Options	Paper
NOv 29	Junyi Zhang	11	Autoregressive Convolutional Neural Networks for Asynchronous Time Series	Paper
Nov 29	Travis Bender	12	Automatic Goal Generation for Reinforcement Learning Agents	Paper
Nov 29	Patrick Li	12	Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices	Paper
Makup	Ruijie Zhang	1	Searching for Efficient Multi-Scale Architectures for Dense Image Prediction	Paper
Makup	Ahmed Afify	2	Don't Decay the Learning Rate, Increase the Batch Size	Paper
Makup	Gaurav Sahu	3	TBD
Makup	Kashif Khan	4	Wasserstein Auto-Encoders	Paper
Makup	Shala Chen		A NEURAL REPRESENTATION OF SKETCH DRAWINGS
Makup	Ki Beom Lee
Makup	Wesley Fisher		Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling	Paper	Summary