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 Domaininvariant 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, JuiTing Huang, Frank Seide

BarnesHutSNEAuthors: 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

ZeroShot Learning Through CrossModal 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 AutoEncoders Learn from the Data Generating DistributionAuthors: Guillaume Alain, Yoshua Bengio

Discriminative Recurrent Sparse AutoEncodersAuthors: Jason Tyler Rolfe, Yann LeCun

Austerity in MCMLand: 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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