Listed below are the conference papers accepted to the International Conference on Learning Representations (ICLR) 2013. Discrete Restricted Boltzmann Machines [video] Guido F. Montufar, Jason Morton Feature grouping from spatially constrained multiplicative interaction [video] Felix Bauer, Roland Memisevic Judy Hoffman, Erik Rodner, Jeff Donahue, Trevor Darrell, Kate Saenko Indoor Semantic Segmentation using depth information [video] Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun The Neural Representation Benchmark and its Evaluation on Brain and Machine [video] Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J. Majaj, James J. DiCarlo Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide Barnes-Hut-SNE [video] Laurens van der Maaten
Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling Information Theoretic Learning with Infinitely Divisible Kernels [video] Luis G. Sanchez Giraldo, Jose C. Principe What Regularized Auto-Encoders Learn from the Data Generating Distribution [video] Guillaume Alain, Yoshua Bengio Discriminative Recurrent Sparse Auto-Encoders [video] Jason Tyler Rolfe, Yann LeCun Alan L. Yuille, Roozbeh Mottaghi Stochastic Pooling for Regularization of Deep Convolutional Neural Networks [video] Matthew D. Zeiler, Rob Fergus Knowledge Matters: Importance of Prior Information for Optimization [video] Caglar Gulcehre, Yoshua Bengio Nicolas Le Roux, Francis Bach The Diagonalized Newton Algorithm for Nonnegative Matrix Factorization Hugo Van hamme Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian Bénar, Théodore Papadopoulo Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients Tom Schaul, Yann LeCun Training Neural Networks with Stochastic Hessian-Free Optimization Ryan Kiros Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines Guillaume Desjardins, Razvan Pascanu, Aaron Courville, Yoshua Bengio Block Coordinate Descent for Sparse NMF Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes Cutting Recursive Autoencoder Trees Christian Scheible, Hinrich Schuetze Rostislav Goroshin, Yann LeCun Cheng Zhang, Carl Henrik Ek, Hedvig Kjellstrom
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