0900 | 0940 | keynote | Antoine Bordes (Facebook), Artificial Tasks for Artificial Intelligence | (slides) | Video1 Video2 | |

0940 | 1000 | oral | Word Representations via Gaussian Embedding by Luke Vilnis and Andrew McCallum (Brown University) | (slides) | Video | |

1000 | 1020 | oral | Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) by Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan Yuille (Baidu and UCLA) | (slides) | Video | |

1020 | 1050 | coffee break | ||||

1050 | 1130 | keynote | David Silver (Google DeepMind), Deep Reinforcement Learning | (slides) | Video1 Video2 | |

1130 | 1150 | oral | Deep Structured Output Learning for Unconstrained Text Recognition by Text Recognition” by Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman (Oxford University and Google DeepMind) | (slides) | Video | |

1150 | 1210 | oral | Very Deep Convolutional Networks for Large-Scale Image Recognition by Karen Simonyan, Andrew Zisserman (Oxford) | (slides) | Video | |

1210 | 1230 | oral | Fast Convolutional Nets With fbfft: A GPU Performance Evaluation by Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun (Facebook AI Research) | (slides) | Video | |

1230 | 1400 | lunch | On your own | |||

1400 | 1700 | posters | Workshop Poster Session 1 – The Pavilion | |||

1730 | 1900 | dinner | South Poolside – Sponsored by Google | |||

May 8 | 0730 | 0900 | breakfast | South Poolside – Sponsored by Facebook | ||

0900 | 1230 | Oral Session – International Ballroom | ||||

0900 | 0940 | keynote | Terrence Sejnowski (Salk Institute), Beyond Representation Learning | Video1 Video2 | ||

0940 | 1000 | oral | Reweighted Wake-Sleep | (slides) | Video | |

1000 | 1020 | oral | The local low-dimensionality of natural images | (slides) | Video | |

1020 | 1050 | coffee break | ||||

1050 | 1130 | keynote | Percy Liang (Stanford), Learning Latent Programs for Question Answering | (slides) | Video1 Video2 | |

1130 | 1150 | oral | Memory Networks | (slides) | Video | |

1150 | 1210 | oral | Object detectors emerge in Deep Scene CNNs | (slides) | Video | |

1210 | 1230 | oral | Qualitatively characterizing neural network optimization problems | (slides) | Video | |

1230 | 1400 | lunch | On your own | |||

1400 | 1700 | posters | Workshop Poster Session 2 – The Pavilion | |||

1730 | 1900 | dinner | South Poolside – Sponsored by IBM Watson | |||

May 9 | 0730 | 0900 | breakfast | South Poolside – Sponsored by Qualcomm | ||

0900 | 0940 | keynote | Hal Daumé III (U. Maryland), Algorithms that Learn to Think on their Feet | (slides) | Video | |

0940 | 1000 | oral | Neural Machine Translation by Jointly Learning to Align and Translate | (slides) | Video | |

1000 | 1030 | coffee break | ||||

1030 | 1330 | posters | Conference Poster Session – The Pavilion (AISTATS attendees are invited to this poster session) | |||

1330 | 1700 | lunch and break | On your own | |||

1700 | 1800 | ICLR/AISTATS Oral Session – International Ballroom | ||||

1700 | 1800 | keynote | Pierre Baldi (UC Irvine), The Ebb and Flow of Deep Learning: a Theory of Local Learning | Video | ||

1800 | 2000 | ICLR/AISTATS reception | Fresco's (near the pool) |

### Conference Oral Presentations

- Word Representations via Gaussian Embedding, Luke Vilnis and Andrew McCallum
- Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN), Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, and Alan Yuille
- Deep Structured Output Learning for Unconstrained Text Recognition, Max Jaderberg, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman
- Very Deep Convolutional Networks for Large-Scale Image Recognition, Karen Simonyan and Andrew Zisserman
- Fast Convolutional Nets With fbfft: A GPU Performance Evaluation, Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, and Yann LeCun
- Reweighted Wake-Sleep, Jorg Bornschein and Yoshua Bengio
- The local low-dimensionality of natural images, Olivier Henaff, Johannes Balle, Neil Rabinowitz, and Eero Simoncelli
- Memory Networks, Jason Weston, Sumit Chopra, and Antoine Bordes
- Object detectors emerge in Deep Scene CNNs, Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba
- Qualitatively characterizing neural network optimization problems, Ian Goodfellow and Oriol Vinyals
- Neural Machine Translation by Jointly Learning to Align and Translate, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio

### May 9 Conference Poster Session

Board | Presentation |
---|---|

2 | FitNets: Hints for Thin Deep Nets, Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio |

3 | Techniques for Learning Binary Stochastic Feedforward Neural Networks, Tapani Raiko, Mathias Berglund, Guillaume Alain, and Laurent Dinh |

4 | Reweighted Wake-Sleep, Jorg Bornschein and Yoshua Bengio |

5 | Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs, Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan Yuille |

7 | Multiple Object Recognition with Visual Attention, Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu |

8 | Deep Narrow Boltzmann Machines are Universal Approximators, Guido Montufar |

9 | Transformation Properties of Learned Visual Representations, Taco Cohen and Max Welling |

10 | Joint RNN-Based Greedy Parsing and Word Composition, Joël Legrand and Ronan Collobert |

11 | Adam: A Method for Stochastic Optimization, Jimmy Ba and Diederik Kingma |

13 | Neural Machine Translation by Jointly Learning to Align and Translate, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio |

15 | Scheduled denoising autoencoders, Krzysztof Geras and Charles Sutton |

16 | Embedding Entities and Relations for Learning and Inference in Knowledge Bases, Bishan Yang, Scott Yih, Xiaodong He, Jianfeng Gao, and Li Deng |

18 | The local low-dimensionality of natural images, Olivier Henaff, Johannes Balle, Neil Rabinowitz, and Eero Simoncelli |

20 | Explaining and Harnessing Adversarial Examples, Ian Goodfellow, Jon Shlens, and Christian Szegedy |

22 | Modeling Compositionality with Multiplicative Recurrent Neural Networks, Ozan Irsoy and Claire Cardie |

24 | Very Deep Convolutional Networks for Large-Scale Image Recognition, Karen Simonyan and Andrew Zisserman |

25 | Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition, Vadim Lebedev, Yaroslav Ganin, Victor Lempitsky, Maksim Rakhuba, and Ivan Oseledets |

27 | Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN), Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, and Alan Yuille |

28 | Deep Structured Output Learning for Unconstrained Text Recognition, Max Jaderberg, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman |

30 | Zero-bias autoencoders and the benefits of co-adapting features, Kishore Konda, Roland Memisevic, and David Krueger |

31 | Automatic Discovery and Optimization of Parts for Image Classification, Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman, and Pedro Felzenszwalb |

33 | Understanding Locally Competitive Networks, Rupesh Srivastava, Jonathan Masci, Faustino Gomez, and Juergen Schmidhuber |

35 | Leveraging Monolingual Data for Crosslingual Compositional Word Representations, Hubert Soyer, Pontus Stenetorp, and Akiko Aizawa |

36 | Move Evaluation in Go Using Deep Convolutional Neural Networks, Chris Maddison, Aja Huang, Ilya Sutskever, and David Silver |

38 | Fast Convolutional Nets With fbfft: A GPU Performance Evaluation, Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, and Yann LeCun |

40 | Word Representations via Gaussian Embedding, Luke Vilnis and Andrew McCallum |

41 | Qualitatively characterizing neural network optimization problems, Ian Goodfellow and Oriol Vinyals |

42 | Memory Networks, Jason Weston, Sumit Chopra, and Antoine Bordes |

43 | Generative Modeling of Convolutional Neural Networks, Jifeng Dai, Yang Lu, and Ying-Nian Wu |

44 | A Unified Perspective on Multi-Domain and Multi-Task Learning, Yongxin Yang and Timothy Hospedales |

45 | Object detectors emerge in Deep Scene CNNs, Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba |

### May 7 Workshop Poster Session

### May 8 Workshop Poster Session

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