ICLR 2013 conference Submissions

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
Danqi Chen, Richard Socher, Christopher Manning, Andrew Y. Ng
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Deep learning and the renormalization group
Cédric Bény
- 15 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Switched linear encoding with rectified linear autoencoders
Leif Johnson, Craig Corcoran
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Why Size Matters: Feature Coding as Nystrom Sampling
Oriol Vinyals, Yangqing Jia, Trevor Darrell
- 24 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
The Diagonalized Newton Algorithm for Nonnegative Matrix Factorization
Hugo Van hamme
- 16 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher Manning, Andrew Y. Ng
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Complexity of Representation and Inference in Compositional Models with Part Sharing
Alan Yuille, Roozbeh Mottaghi
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Indoor Semantic Segmentation using depth information
Camille Couprie, Clement Farabet, Laurent Najman, Yann LeCun
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines
Guillaume Desjardins, Razvan Pascanu, Aaron Courville, Yoshua Bengio
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Deep Predictive Coding Networks
Rakesh Chalasani, Jose C. Principe
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums
YoonSeop Kang, Seungjin Choi
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Local Component Analysis
Nicolas Le Roux, Francis Bach
- 11 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun
- 16 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
When Does a Mixture of Products Contain a Product of Mixtures?
Guido F. Montufar, Jason Morton
- 10 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Discriminative Recurrent Sparse Auto-Encoders
Jason Rolfe, Yann LeCun
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Joint Training Deep Boltzmann Machines for Classification
Ian Goodfellow, Aaron Courville, Yoshua Bengio
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Latent Relation Representations for Universal Schemas
Sebastian Riedel, Limin Yao, Andrew McCallum
- 21 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Clustering Learning for Robotic Vision
Eugenio Culurciello, Jordan Bates, Aysegul Dundar, Jose Carrasco, Clement Farabet
- 15 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models
Derek Rose, Itamar Arel
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Training Neural Networks with Stochastic Hessian-Free Optimization
Ryan Kiros
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
A Geometric Descriptor for Cell-Division Detection
Marcelo Cicconet, Italo Lima, Davi Geiger, Kris Gunsalus
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals
Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian Bénar, Théodore Papadopoulo
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Kernelized Locality-Sensitive Hashing for Semi-Supervised Agglomerative Clustering
Boyi Xie, Shuheng Zheng
- 17 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity Estimation from Facial Images
Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic
- 23 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone
Regularized Discriminant Embedding for Visual Descriptor Learning
Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi
- 18 Jan 2013
- ICLR 2013 conference submission
- Readers: Everyone