ICLR (Workshop Poster)

Publications

2014

Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. ICLR (Workshop Poster) (2014)
Dimitris Athanasakis, John Shawe-Taylor, Delmiro Fernandez-Reyes
Learning Non-Linear Feature Maps, With An Application To Representation Learning. ICLR (Workshop Poster) (2014)
Balázs Kégl
Correlation-based construction of neighborhood and edge features. ICLR (Workshop Poster) (2014)
Michael Tetelman
Continuous Learning: Engineering Super Features With Feature Algebras. ICLR (Workshop Poster) (2014)
David Buchaca Prats, Enrique Romero, Ferran Mazzanti, Jordi Delgado
Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error. ICLR (Workshop Poster) (2014)
David Eigen, Jason Tyler Rolfe, Rob Fergus, Yann LeCun
Understanding Deep Architectures using a Recursive Convolutional Network. ICLR (Workshop Poster) (2014)
Anjan Nepal, Alexander Yates
Factorial Hidden Markov Models for Learning Representations of Natural Language. ICLR (Workshop Poster) (2014)
Brody Huval, Adam Coates, Andrew Y. Ng
Deep learning for class-generic object detection. ICLR (Workshop Poster) (2014)
Omry Yadan, Keith Adams, Yaniv Taigman, Marc'Aurelio Ranzato
Multi-GPU Training of ConvNets. ICLR (Workshop Poster) (2014)
Sherjil Ozair, Li Yao, Yoshua Bengio
Multimodal Transitions for Generative Stochastic Networks. ICLR (Workshop Poster) (2014)
Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Ali Homayounpour
Deep Belief Networks for Image Denoising. ICLR (Workshop Poster) (2014)
Irina Sergienya, Hinrich Schütze
Distributional Models and Deep Learning Embeddings: Combining the Best of Both Worlds. ICLR (Workshop Poster) (2014)
Wenpeng Yin, Hinrich Schütze
Deep Learning Embeddings for Discontinuous Linguistic Units. ICLR (Workshop Poster) (2014)
Jost Tobias Springenberg, Martin A. Riedmiller
Improving Deep Neural Networks with Probabilistic Maxout Units. ICLR (Workshop Poster) (2014)
Taichi Kiwaki, Takaki Makino, Kazuyuki Aihara
Approximated Infomax Early Stopping: Revisiting Gaussian RBMs on Natural Images. ICLR (Workshop Poster) (2014)
Mathias Berglund, Tapani Raiko
Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence. ICLR (Workshop Poster) (2014)
Andrew S. Davis, Itamar Arel
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks. ICLR (Workshop Poster) (2014)
Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) (2014)
Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
Unsupervised feature learning by augmenting single images. ICLR (Workshop Poster) (2014)
Yiyi Liao, Yue Wang, Yong Liu
Image Representation Learning Using Graph Regularized Auto-Encoders. ICLR (Workshop Poster) (2014)
Sergey M. Plis, R. Devon Hjelm, Ruslan Salakhutdinov, Vince D. Calhoun
Deep learning for neuroimaging: a validation study. ICLR (Workshop Poster) (2014)
Thomas Paine, Hailin Jin, Jianchao Yang, Zhe Lin, Thomas S. Huang
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training. ICLR (Workshop Poster) (2014)
Yalong Bai, Kuiyuan Yang, Wei Yu, Wei-Ying Ma, Tiejun Zhao
Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data. ICLR (Workshop Poster) (2014)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari
Learning States Representations in POMDP. ICLR (Workshop Poster) (2014)
Aleksandr Y. Aravkin, Anna Choromanska, Dimitri Kanevsky, Tony Jebara
Semistochastic Quadratic Bound Methods for Convex and Nonconvex Learning Problems. ICLR (Workshop Poster) (2014)
Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari
Learning Information Spread in Content Networks. ICLR (Workshop Poster) (2014)
Jianshu Chen, Li Deng
A New Method for Learning Deep Recurrent Neural Networks. ICLR (Workshop Poster) (2014)
Nan Wang, Laurenz Wiskott, Dirk Jancke
Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines. ICLR (Workshop Poster) (2014)
Patrick C. Connor, Thomas P. Trappenberg
An Architecture for Distinguishing between Predictors and Inhibitors in Reinforcement Learning. ICLR (Workshop Poster) (2014)
Samuel R. Bowman
Can recursive neural tensor networks learn logical reasoning? ICLR (Workshop Poster) (2014)
Edouard Oyallon, Stéphane Mallat, Laurent Sifre
Generic Deep Networks with Wavelet Scattering. ICLR (Workshop Poster) (2014)
David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever
Learning Factored Representations in a Deep Mixture of Experts. ICLR (Workshop Poster) (2014)
Honghao Shan, Garrison W. Cottrell
Efficient Visual Coding: From Retina To V2. ICLR (Workshop Poster) (2014)
Luis Gonzalo Sánchez Giraldo, José C. Príncipe
Rate-Distortion Auto-Encoders. ICLR (Workshop Poster) (2014)

2013