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[https://uwaterloo.ca/data-science/sites/ca.data-science/files/uploads/files/listofpapers1.pdf  List of Papers]


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|width="60pt"|Date
|width="100pt"|Name 
|width="30pt"|Paper number 
|width="400pt"|Title
|width="30pt"|Link to the paper
|width="30pt"|Link to the summary
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|Example ||Ali Ghodsi||1||Deep sparse rectifier neural networks. || [http://jmlr.csail.mit.edu/proceedings/papers/v15/glorot11a/glorot11a.pdf Paper]|| [[Deep sparse rectifier neural networks|Summary]]
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|Oct 16 || pascal poupart || || Guest Lecturer||||
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|Oct 16 ||pascal poupart || ||Guest Lecturer ||||
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|Oct 23 || || || ||||
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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] ||
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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]]
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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]]
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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]]
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|Nov 6 || Sean Aubin || ||Learning Hierarchical Features for Scene Labeling ||[http://yann.lecun.com/exdb/publis/pdf/farabet-pami-13.pdf Paper]||[[Learning Hierarchical Features for Scene Labeling|Summary]]
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|Nov 6 || || || ||||
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|Nov 13 ||Xinran Liu || ||ImageNet Classification with Deep Convolutional Neural Networks ||[http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf Paper]||[[ImageNet Classification with Deep Convolutional Neural Networks|Summary]]
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|Nov 13 || Maysum Panju || ||Neural machine translation by jointly learning to align and translate ||[http://arxiv.org/pdf/1409.0473v6.pdf Paper] ||
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|Nov 13 || Abdullah Rashwan || || Deep neural networks for acoustic modeling in speech recognition. ||[http://research.microsoft.com/pubs/171498/HintonDengYuEtAl-SPM2012.pdf paper]||
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|Nov 20 || Valerie Platsko || ||Natural language processing (almost) from scratch. ||[http://arxiv.org/pdf/1103.0398.pdf Paper]||
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|Nov 20 || Brent Komer || ||Show, Attend and Tell: Neural Image Caption Generation with Visual Attention || [http://arxiv.org/pdf/1502.03044v2.pdf Paper]||[[Show, Attend and Tell: Neural Image Caption Generation with Visual Attention|Summary]]
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|Nov 20 || Luyao Ruan || || Dropout: A Simple Way to Prevent Neural Networks from Overfitting || [https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf]||
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|Nov 27 ||Mahmood Gohari || ||Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships  ||[http://pubs.acs.org/doi/abs/10.1021/ci500747n.pdf Paper]||
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|Nov 27 || Derek Latremouille || ||The Wake-Sleep Algorithm for Unsupervised Neural Networks  || [http://www.gatsby.ucl.ac.uk/~dayan/papers/hdfn95.pdf Paper] ||
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|Nov 27 || || || ||||
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|Dec 4 || Chris Choi || || On the difficulty of training recurrent neural networks || [http://www.jmlr.org/proceedings/papers/v28/pascanu13.pdf Paper] || [[On the difficulty of training recurrent neural networks | Summary]]
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|Dec 4 || Fatemeh Karimi || ||Connectomic reconstruction of the inner plexiform layer in the mouse retina  ||[http://www.nature.com/nature/journal/v500/n7461/pdf/nature12346.pdf Paper]||
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|Dec 4 || || || ||||