Revision as of 13:02, 2 October 2017

List of Papers

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
Nov 9
Nov 9
Nov 14
Nov 14	Nafseer Kadiyaravida		Dialog-based Language Learnin	[[2]]
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

@@ Line 27: / Line 27: @@
 |Oct 12 (example)||Ri Wang || ||Sequence to sequence learning with neural networks.||[http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf Paper] || [http://wikicoursenote.com/wiki/Stat946f15/Sequence_to_sequence_learning_with_neural_networks#Long_Short-Term_Memory_Recurrent_Neural_Network Summary]
 |-
-|Oct 24 ||  || 1|| ||||
+|Oct 24 || Sakif Khan  || 1|| Improving Variational Inference with Inverse Autoregressive Flow || [https://papers.nips.cc/paper/6581-improved-variational-inference-with-inverse-autoregressive-flow]  ||
 |-
 |Oct 24 || ||2 || ||||