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List of Papers

Date	Name	Paper number	Title	Link to the paper	Link to the summary
Example	Ali Ghodsi	1	Deep sparse rectifier neural networks.	Paper	Summary
Oct 16	pascal poupart		Guest Lecturer
Oct 16	pascal poupart		Guest Lecturer
Oct 23	Ri Wang		Sequence to sequence learning with neural networks.	Paper
Oct 23	Deepak Rishi		Parsing natural scenes and natural language with recursive neural networks	Paper
Oct 30	Rui Qiao		Going deeper with convolutions	Paper	Summary
Oct 30	Amirreza Lashkari		Overfeat: integrated recognition, localization and detection using convolutional networks.	Paper	Summary
Nov 6	Anthony Caterini		Human-level control through deep reinforcement learning	Paper	Summary
Nov 6	Sean Aubin		Learning Hierarchical Features for Scene Labeling	Paper	Summary
Nov 6	Mike Hynes	12	Speech recognition with deep recurrent neural networks	Paper	Summary
Nov 13	Tim Tse		. From machine learning to machine reasoning. Mach. Learn.	Paper
Nov 13	Maysum Panju		Neural machine translation by jointly learning to align and translate	Paper
Nov 13	Abdullah Rashwan		Deep neural networks for acoustic modeling in speech recognition.	paper
Nov 20	Valerie Platsko		Natural language processing (almost) from scratch.	Paper
Nov 20	Brent Komer		Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	Paper	Summary
Nov 20	Luyao Ruan		Dropout: A Simple Way to Prevent Neural Networks from Overfitting	Paper
Nov 27	Mahmood Gohari		Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships	Paper
Nov 27	Derek Latremouille		The Wake-Sleep Algorithm for Unsupervised Neural Networks	Paper
Nov 27	Xinran Liu		ImageNet Classification with Deep Convolutional Neural Networks	Paper	Summary
Dec 4	Chris Choi		On the difficulty of training recurrent neural networks	Paper	Summary
Dec 4	Fatemeh Karimi		Connectomic reconstruction of the inner plexiform layer in the mouse retina	Paper
Dec 4	Jan Gosmann		A fast learning algorithm for deep belief nets	Paper	Summary