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