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ORCIDICLR 2014: Banff, AB, Canada
- Yoshua Bengio, Yann LeCun:
2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. 2014
Oral Presentations
- Karl Moritz Hermann, Phil Blunsom:
A Simple Model for Learning Multilingual Compositional Semantics. - Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean:
Zero-Shot Learning by Convex Combination of Semantic Embeddings. - Andrew M. Saxe, James L. McClelland, Surya Ganguli:
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. - Razvan Pascanu, Yoshua Bengio:
Revisiting Natural Gradient for Deep Networks. - Tom Schaul, Ioannis Antonoglou, David Silver:
Unit Tests for Stochastic Optimization. - Diederik P. Kingma, Max Welling:
Auto-Encoding Variational Bayes. - Arto Klami, Guillaume Bouchard, Abhishek Tripathi:
Group-sparse Embeddings in Collective Matrix Factorization. - Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun:
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. - Ian J. Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, Vinay D. Shet:
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks. - Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari:
Sequentially Generated Instance-Dependent Image Representations for Classification. - John A. Bogovic, Gary B. Huang, Viren Jain:
Learned versus Hand-Designed Feature Representations for 3d Agglomeration. - Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun:
Spectral Networks and Locally Connected Networks on Graphs. - Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse similarity-preserving hashing. - Qiang Qiu, Guillermo Sapiro:
Learning Transformations for Classification Forests.
Poster Presentations
- Balázs Kégl:
The return of AdaBoost.MH: multi-class Hamming trees. - David P. Reichert, Thomas Serre:
Neuronal Synchrony in Complex-Valued Deep Networks. - Yoshua Bengio, Li Yao:
Bounding the Test Log-Likelihood of Generative Models. - Dawen Liang, Matthew D. Hoffman, Gautham J. Mysore:
A Generative Product-of-Filters Model of Audio. - Razvan Pascanu, Çaglar Gülçehre, Kyunghyun Cho, Yoshua Bengio:
How to Construct Deep Recurrent Neural Networks. - Yann N. Dauphin, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck:
Zero-Shot Learning and Clustering for Semantic Utterance Classification. - David Warde-Farley, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio:
An empirical analysis of dropout in piecewise linear networks. - Ian J. Goodfellow, Mehdi Mirza, Xia Da, Aaron C. Courville, Yoshua Bengio:
An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks. - Justin Bayer, Christian Osendorfer, Nutan Chen, Sebastian Urban, Patrick van der Smagt:
On Fast Dropout and its Applicability to Recurrent Networks. - Min Lin, Qiang Chen, Shuicheng Yan:
Network In Network. - Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, Christoph Bregler:
Learning Human Pose Estimation Features with Convolutional Networks. - Du Tran, Lorenzo Torresani:
EXMOVES: Classifier-based Features for Scalable Action Recognition. - Razvan Pascanu, Guido Montúfar, Yoshua Bengio:
On the number of inference regions of deep feed forward networks with piece-wise linear activations. - Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus:
Intriguing properties of neural networks. - Michaël Mathieu, Mikael Henaff, Yann LeCun:
Fast Training of Convolutional Networks through FFTs. - Gary B. Huang, Viren Jain:
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling. - Andrew G. Howard:
Some Improvements on Deep Convolutional Neural Network Based Image Classification. - Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe:
Deep Convolutional Ranking for Multilabel Image Annotation. - Kishore Reddy Konda, Roland Memisevic, Vincent Michalski:
The role of spatio-temporal synchrony in the encoding of motion. - Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele:
Multi-View Priors for Learning Detectors from Sparse Viewpoint Data. - Alireza Makhzani, Brendan J. Frey:
k-Sparse Autoencoders.
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