TechTalks: International Conference on Learning Representations (ICLR) 2013
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Recent Applications of Deep Boltzmann MachinesAuthors: Ruslan Salakhutdinov
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Discrete Restricted Boltzmann MachinesAuthors: Guido F. Montufar, Jason Morton
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Feature grouping from spatially constrained multiplicative interactionAuthors: Felix Bauer, Roland Memisevic
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Learning Compositional ModelsAuthors: Alan Yuille
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Efficient Learning of Domain-invariant Image RepresentationsAuthors: Judy Hoffman, Erik Rodner, Jeff Donahue, Trevor Darrell, Kate Saenko
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Indoor Semantic Segmentation using depth informationAuthors: Camille Couprie, Clement Farabet, Laurent Najman, Yann LeCun
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The Neural Representation Benchmark and its Evaluation on Brain and MachineAuthors: Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J, Majaj, James J. DiCarlo
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Deep Learning of Recursive Structure: Grammar InductionAuthors: Jason Eisner
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Feature Learning in Deep Neural Networks - A Study on Speech Recognition TasksAuthors: Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide
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Barnes-Hut-SNEAuthors: Laurens van der Maaten
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Submodularity and Big DataAuthors: Jeff Bilmes
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A Nested HDP for Hierarchical Topic ModelsAuthors: John Paisley, Chong Wang, David Blei, Michael I. Jordan
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Affinity Weighted EmbeddingAuthors: Jason Weston, Ron Weiss, Hector Yee
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Big Neural Networks Waste CapacityAuthors: Yann N. Dauphin, Yoshua Bengio
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Zero-Shot Learning Through Cross-Modal TransferAuthors: Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng
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Why Size Matters: Feature Coding as Nystrom SamplingAuthors: Oriol Vinyals, Yangqing Jia, Trevor Darrell
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Joint Training Deep Boltzmann Machines for ClassificationAuthors: Ian J. Goodfellow, Aaron Courville, Yoshua Bengio
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Deep Learning for Detecting Robotic GraspsAuthors: Ian Lenz, Honglak Lee, Ashutosh Saxena
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Herded Gibbs SamplingAuthors: Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling
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Information Theoretic Learning with Infinitely Divisible KernelsAuthors: Luis G. Sanchez Giraldo, Jose C. Principe
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What Regularized Auto-Encoders Learn from the Data Generating DistributionAuthors: Guillaume Alain, Yoshua Bengio
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Discriminative Recurrent Sparse Auto-EncodersAuthors: Jason Tyler Rolfe, Yann LeCun
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Austerity in MCM-Land: Cutting the computational BudgetAuthors: Max Welling
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Complexity of Represenation and Inference in Compositional Models with Part SharingAuthors: Alan L. Yuille, Roozbeh Mottaghi
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Stochastic Pooling for Regularization of Deep Convolutional Neural NetworksAuthors: Matthew D. Zeiler, Rob Fergus
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Knowledge Matters: Importance of Prior Information for OptimizationAuthors: Caglar Gulcehre, Yoshua Bengio
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DrednetsAuthors: Geoff Hinton
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