Difference between revisions of "f15Stat946PaperSignUp"

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|Oct 30 ||Amirreza Lashkari|| ||Overfeat: integrated recognition, localization and detection using convolutional networks. || [http://arxiv.org/pdf/1312.6229v4.pdf Paper]|| [[Overfeat: integrated recognition, localization and detection using convolutional networks|Summary]]
 
|Oct 30 ||Amirreza Lashkari|| ||Overfeat: integrated recognition, localization and detection using convolutional networks. || [http://arxiv.org/pdf/1312.6229v4.pdf Paper]|| [[Overfeat: integrated recognition, localization and detection using convolutional networks|Summary]]
 
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|Oct 30 || Peter Blouw|| ||Distributed representations of words and phrases and their compositionality.|| [http://goo.gl/NCXliI]|| [[Distributed representations of words and phrases and their compositionally|Summary]]
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|Makeup class (Time: TBA) || Peter Blouw|| ||Distributed representations of words and phrases and their compositionality.|| [http://goo.gl/NCXliI]|| [[Distributed representations of words and phrases and their compositionally|Summary]]
 
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|Nov 6 || Anthony Caterini || || Human-level control through deep reinforcement learning ||[http://www.nature.com/nature/journal/v518/n7540/pdf/nature14236.pdf Paper]|| [[Human-level control through deep reinforcement learning|Summary]]
 
|Nov 6 || Anthony Caterini || || Human-level control through deep reinforcement learning ||[http://www.nature.com/nature/journal/v518/n7540/pdf/nature14236.pdf Paper]|| [[Human-level control through deep reinforcement learning|Summary]]

Revision as of 14:14, 19 October 2015

List of Papers


Date Name Paper number Title Link to the paper Link to the 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 Summary
Oct 23 Deepak Rishi Parsing natural scenes and natural language with recursive neural networks Paper Summary
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
Makeup class (Time: TBA) Peter Blouw Distributed representations of words and phrases and their compositionality. [1] 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 20 Ali Mahdipour The human splicing code reveals new insights into the genetic determinants of disease 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
Nov 27 Ali Sarhadi Learning Fast Approximations of Sparse Coding
Dec 4 Chris Choi On the difficulty of training recurrent neural networks Paper Summary
Dec 4 Fatemeh Karimi MULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION Paper
Dec 4 Jan Gosmann A fast learning algorithm for deep belief nets Paper Summary
Dec 4 Dylan Drover Towards AI-complete question answering: a set of prerequisite toy tasks Paper