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|Oct 23 || Deepak Rishi || || Parsing natural scenes and natural language with recursive neural networks || [http://www-nlp.stanford.edu/pubs/SocherLinNgManning_ICML2011.pdf Paper] || [[Parsing natural scenes and natural language with recursive neural networks | Summary]] | |Oct 23 || Deepak Rishi || || Parsing natural scenes and natural language with recursive neural networks || [http://www-nlp.stanford.edu/pubs/SocherLinNgManning_ICML2011.pdf Paper] || [[Parsing natural scenes and natural language with recursive neural networks | Summary]] | ||
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|Oct 30 || Ali Ghodsi || || Lecturer|||| | |||
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|Oct 30 || Ali Ghodsi || || Lecturer|||| | |||
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|Oct 30 ||Rui Qiao || ||Going deeper with convolutions || [http://arxiv.org/pdf/1409.4842v1.pdf Paper]|| [[Going deeper with convolutions|Summary]] | |Oct 30 ||Rui Qiao || ||Going deeper with convolutions || [http://arxiv.org/pdf/1409.4842v1.pdf Paper]|| [[Going deeper with convolutions|Summary]] | ||
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|Oct 30 || Peter Blouw|| ||Memory Networks.|| [http://arxiv.org/abs/1410.3916]|| [[Memory Networks|Summary]] | |Oct 30 || Peter Blouw|| ||Memory Networks.|| [http://arxiv.org/abs/1410.3916]|| [[Memory Networks|Summary]] | ||
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|Nov 6 || Ali Ghodsi || || Lecturer|||| | |||
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|Nov 6 || Ali Ghodsi || || Lecturer|||| | |||
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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]] | ||
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|Nov 13|| Mike Hynes || 12 ||Speech recognition with deep recurrent neural networks || [http://www.cs.toronto.edu/~fritz/absps/RNN13.pdf Paper] || [[Graves et al., Speech recognition with deep recurrent neural networks|Summary]] | |Nov 13|| Mike Hynes || 12 ||Speech recognition with deep recurrent neural networks || [http://www.cs.toronto.edu/~fritz/absps/RNN13.pdf Paper] || [[Graves et al., Speech recognition with deep recurrent neural networks|Summary]] | ||
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|Nov 13 || Tim Tse || || . From machine learning to machine reasoning. Mach. Learn. ||[http://research.microsoft.com/pubs/206768/mlj-2013.pdf Paper]|| | |Nov 13 || Tim Tse || || . From machine learning to machine reasoning. Mach. Learn. ||[http://research.microsoft.com/pubs/206768/mlj-2013.pdf Paper]|| | ||
Revision as of 14:23, 19 October 2015
| 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 | Ali Ghodsi | Lecturer | |||
| Oct 23 | Ali Ghodsi | 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 | Ali Ghodsi | Lecturer | |||
| Oct 30 | Ali Ghodsi | Lecturer | |||
| 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 | |
| Oct 30 | Peter Blouw | Memory Networks. | [1] | Summary | |
| Nov 6 | Ali Ghodsi | Lecturer | |||
| Nov 6 | Ali Ghodsi | Lecturer | |||
| 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 13 | 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 |