List of Papers

Record your contributions here:

Use the following notations:

P: You have written a summary/critique on the paper.

T: You had a technical contribution on a paper (excluding the paper that you present).

E: You had an editorial contribution on a paper (excluding the paper that you present).

Date	Name	Paper number	Title	Link to the paper	Link to the summary
Oct 12 (example)	Ri Wang		Sequence to sequence learning with neural networks.	Paper	Summary
Oct 24	Sakif Khan	1	Improving Variational Inference with Inverse Autoregressive Flow	[1]
Oct 24		2
Oct 24		3
Oct 26		4
Oct 26		5
Oct 26		6
Oct 31
Oct 31
Oct 31
Nov 2
Nov 2
Nov 2
Nov 7
Nov 7
Nov 7
Nov 9	ShuoShuo Liu		Learning the Number of Neurons in Deep Networks
Nov 9
Nov 9	Varshanth R Rao		Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study	Paper
Nov 14
Nov 14	Nafseer Kadiyaravida		Dialog-based Language Learnin	[Paper]
Nov 14
Nov 16
Nov 16
Nov 16	Yunqing HE		LightRNN: Memory and Computation-Efficient Recurrent Neural Networks	https://papers.nips.cc/paper/6512-lightrnn-memory-and-computation-efficient-recurrent-neural-networks
Nov 21	Aman Jhunjhunwala		Curiosity-driven Exploration by Self-supervised Prediction	Paper	Summary
Nov 21
Nov 21	Ashish Gaurav		Deep Exploration via Bootstrapped DQN	Paper
Nov 23
Nov 23
Nov 23
Nov 28
Nov 28
Nov 28
Nov 30
Nov 30
Nov 30