| 2013 | 1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings Yoshua Bengio, Yann LeCun |
| 2013 | Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients Tom Schaul, Yann LeCun |
| 2013 | Barnes-Hut-SNE Laurens van der Maaten |
| 2013 | Block Coordinate Descent for Sparse NMF Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes |
| 2013 | Complexity of Representation and Inference in Compositional Models with Part Sharing Alan L. Yuille, Roozbeh Mottaghi |
| 2013 | Cutting Recursive Autoencoder Trees Christian Scheible, Hinrich Schütze |
| 2013 | Discrete Restricted Boltzmann Machines Guido Montúfar, Jason Morton |
| 2013 | Discriminative Recurrent Sparse Auto-Encoders Jason Tyler Rolfe, Yann LeCun |
| 2013 | Efficient Learning of Domain-invariant Image Representations Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell |
| 2013 | Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide |
| 2013 | Feature grouping from spatially constrained multiplicative interaction Felix Bauer, Roland Memisevic |
| 2013 | Herded Gibbs Sampling Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling |
| 2013 | Indoor Semantic Segmentation using depth information Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun |
| 2013 | Information Theoretic Learning with Infinitely Divisible Kernels Luis Gonzalo Sánchez Giraldo, José C. Príncipe |
| 2013 | Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian G. Bénar, Théodore Papadopoulo |
| 2013 | Knowledge Matters: Importance of Prior Information for Optimization Çaglar Gülçehre, Yoshua Bengio |
| 2013 | Local Component Analysis Nicolas Le Roux, Francis R. Bach |
| 2013 | Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines Guillaume Desjardins, Razvan Pascanu, Aaron C. Courville, Yoshua Bengio |
| 2013 | Regularized Auto-Encoders Estimate Local Statistics Guillaume Alain, Yoshua Bengio, Salah Rifai |
| 2013 | Saturating Auto-Encoder Rostislav Goroshin, Yann LeCun |
| 2013 | Stochastic Pooling for Regularization of Deep Convolutional Neural Networks Matthew D. Zeiler, Rob Fergus |
| 2013 | The Diagonalized Newton Algorithm for Nonnegative Matrix Factorization Hugo Van hamme |
| 2013 | The Neural Representation Benchmark and its Evaluation on Brain and Machine Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J. Majaj, James J. DiCarlo |
| 2013 | Training Neural Networks with Stochastic Hessian-Free Optimization Ryan Kiros |