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