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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
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
Nov 13 Xinran Liu ImageNet Classification with Deep Convolutional Neural Networks Paper Summary
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
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