| 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 |
21 |
Overfeat: integrated recognition, localization and detection using convolutional networks. |
Paper |
Summary
|
| Mkeup Class (TBA) |
Peter Blouw |
|
Memory Networks. |
[1] |
Summary
|
| Nov 6 |
Ali Ghodsi |
|
Lecturer |
|
|
| Nov 6 |
Ali Ghodsi |
|
Lecturer |
|
|
| Nov 6 |
Anthony Caterini |
56 |
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 |
|