# ICLR 2013

## International Conference on Learning Representations

### May 02 - 04, 2013, Scottsdale, Arizona, USA

Please see the venue website for more information.

Open for public discussion

ICLR 2013 operates on an open reviewing model. Please feel free to engage in public discussion of the submitted papers during and after the review period.

## ICLR 2013 Workshop Track

#### Accepted for Oral Presentation

Zero-Shot Learning Through Cross-Modal Transfer

Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng

17 Jan 2013
arXiv
2 Comments
ICLR 2013 Workshop Track
A Nested HDP for Hierarchical Topic Models

John Paisley, Chong Wang, David Blei, Michael I. Jordan

16 Jan 2013
arXiv
4 Comments
ICLR 2013 Workshop Track
Big Neural Networks Waste Capacity

Yann N. Dauphin, Yoshua Bengio

16 Jan 2013
arXiv
9 Comments
ICLR 2013 Workshop Track
Affinity Weighted Embedding

Jason Weston, Ron Weiss, Hector Yee

18 Jan 2013
arXiv
3 Comments
ICLR 2013 Workshop Track
Joint Training Deep Boltzmann Machines for Classification

Ian J. Goodfellow, Aaron Courville, Yoshua Bengio

16 Jan 2013
arXiv
6 Comments
ICLR 2013 Workshop Track
Why Size Matters: Feature Coding as Nystrom Sampling

Oriol Vinyals, Yangqing Jia, Trevor Darrell

23 Jan 2013
arXiv
3 Comments
ICLR 2013 Workshop Track
Deep Learning for Detecting Robotic Grasps

Ian Lenz, Honglak Lee, Ashutosh Saxena

16 Jan 2013
arXiv
2 Comments
ICLR 2013 Workshop Track
#### Accepted for Poster Presentation

Latent Relation Representations for Universal Schemas

Sebastian Riedel, Limin Yao, Andrew McCallum

20 Jan 2013
arXiv
2 Comments
ICLR 2013 Workshop Track
Learning Stable Group Invariant Representations with Convolutional
Networks

Joan Bruna, Arthur Szlam, Yann LeCun

17 Jan 2013
arXiv
3 Comments
ICLR 2013 Workshop Track
Tree structured sparse coding on cubes

Arthur Szlam

16 Jan 2013
arXiv
2 Comments
ICLR 2013 Workshop Track
A brief description of tree structured sparse coding on the binary cube.

Two SVDs produce more focal deep learning representations

Hinrich Schuetze, Christian Scheible

17 Jan 2013
arXiv
2 Comments
ICLR 2013 Workshop Track
Matrix Approximation under Local Low-Rank Assumption

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

15 Jan 2013
arXiv
4 Comments
ICLR 2013 Workshop Track
Hierarchical Data Representation Model - Multi-layer NMF

Hyun Ah Song, Soo-Young Lee

28 Jan 2013
arXiv
5 Comments
ICLR 2013 Workshop Track
A Semantic Matching Energy Function for Learning with Multi-relational
Data

Xavier Glorot, Antoine Bordes, Jason Weston, Yoshua Bengio

16 Jan 2013
arXiv
3 Comments
ICLR 2013 Workshop Track
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models

Derek Rose, Itamar Arel

17 Jan 2013
arXiv
3 Comments
ICLR 2013 Workshop Track
Regularized Discriminant Embedding for Visual Descriptor Learning

Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi

17 Jan 2013
arXiv
3 Comments
ICLR 2013 Workshop Track
Learning Features with Structure-Adapting Multi-view Exponential Family
Harmoniums

Yoonseop Kang, Seungjin Choi

16 Jan 2013
arXiv
4 Comments
ICLR 2013 Workshop Track
Visual Objects Classification with Sliding Spatial Pyramid Matching

Hao Wooi Lim, Yong Haur Tay

19 Jan 2013
arXiv
2 Comments
ICLR 2013 Workshop Track
Learning New Facts From Knowledge Bases With Neural Tensor Networks and
Semantic Word Vectors

Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng

17 Jan 2013
arXiv
2 Comments
ICLR 2013 Workshop Track
The Manifold of Human Emotions

Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan Essa

16 Jan 2013
arXiv
4 Comments
ICLR 2013 Workshop Track
#### Not selected for presentation at this time

A Geometric Descriptor for Cell-Division Detection

Marcelo Cicconet, Italo Lima, Davi Geiger, Kris Gunsalus

16 Jan 2013
arXiv
3 Comments
Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity
Estimation from Facial Images

Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic

22 Jan 2013
arXiv
2 Comments
Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in
DeSTIN

Steven R. Young, Itamar Arel

16 Jan 2013
arXiv
2 Comments
Kernelized Locality-Sensitive Hashing for Semi-Supervised Agglomerative Clustering

Boyi Xie, Shuheng Zheng

17 Jan 2013
arXiv
2 Comments
An Efficient Sufficient Dimension Reduction Method for Identifying
Genetic Variants of Clinical Significance

Momiao Xiong, Long Ma

16 Jan 2013
arXiv
2 Comments
## ICLR 2013 Conference Track

#### Accepted for Oral Presentation

Complexity of Representation and Inference in Compositional Models with
Part Sharing

Alan L. Yuille, Roozbeh Mottaghi

16 Jan 2013
arXiv
8 Comments
ICLR 2013 Conference Track
Stochastic Pooling for Regularization of Deep Convolutional Neural
Networks

Matthew D. Zeiler, Rob Fergus

16 Jan 2013
arXiv
6 Comments
ICLR 2013 Conference Track
Indoor Semantic Segmentation using depth information

Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

16 Jan 2013
arXiv
6 Comments
ICLR 2013 Conference Track
Discriminative Recurrent Sparse Auto-Encoders

Jason Tyler Rolfe, Yann LeCun

16 Jan 2013
arXiv
17 Comments
ICLR 2013 Conference Track
Efficient Learning of Domain-invariant Image Representations

Judy Hoffman, Erik Rodner, Jeff Donahue, Trevor Darrell, Kate Saenko

15 Jan 2013
arXiv
7 Comments
ICLR 2013 Conference Track
Discrete Restricted Boltzmann Machines

Guido F. Montufar, Jason Morton

16 Jan 2013
arXiv
5 Comments
ICLR 2013 Conference Track
Information Theoretic Learning with Infinitely Divisible Kernels

Luis G. Sanchez Giraldo, Jose C. Principe

16 Jan 2013
arXiv
8 Comments
ICLR 2013 Conference Track
What Regularized Auto-Encoders Learn from the Data Generating Distribution

Guillaume Alain, Yoshua Bengio

16 Jan 2013
arXiv
6 Comments
ICLR 2013 Conference Track
Feature grouping from spatially constrained multiplicative interaction

Felix Bauer, Roland Memisevic

17 Jan 2013
arXiv
4 Comments
ICLR 2013 Conference Track
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

17 Jan 2013
arXiv
6 Comments
ICLR 2013 Conference Track
Feature Learning in Deep Neural Networks - A Study on Speech Recognition
Tasks

Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide

16 Jan 2013
arXiv
4 Comments
ICLR 2013 Conference Track
Herded Gibbs Sampling

Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling

18 Jan 2013
arXiv
9 Comments
ICLR 2013 Conference Track
Knowledge Matters: Importance of Prior Information for Optimization

Caglar Gulcehre, Yoshua Bengio

18 Jan 2013
arXiv
10 Comments
ICLR 2013 Conference Track
#### Accepted for Poster Presentation

The Diagonalized Newton Algorithm for Nonnegative Matrix Factorization

Hugo Van hamme

16 Jan 2013
arXiv
6 Comments
ICLR 2013 Conference Track
Local Component Analysis

Nicolas Le Roux, Francis Bach

11 Jan 2013
arXiv
4 Comments
ICLR 2013 Conference Track
Adaptive learning rates and parallelization for stochastic, sparse,
non-smooth gradients

Tom Schaul, Yann LeCun

16 Jan 2013
arXiv
4 Comments
ICLR 2013 Conference Track
Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines

Guillaume Desjardins, Razvan Pascanu, Aaron Courville, Yoshua Bengio

16 Jan 2013
arXiv
4 Comments
ICLR 2013 Conference Track
Cutting Recursive Autoencoder Trees

Christian Scheible, Hinrich Schuetze

20 Jan 2013
arXiv
7 Comments
ICLR 2013 Conference Track
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
arXiv
5 Comments
ICLR 2013 Conference Track
Saturating Auto-Encoder

Rostislav Goroshin, Yann LeCun

17 Jan 2013
arXiv
8 Comments
ICLR 2013 Conference Track
Block Coordinate Descent for Sparse NMF

Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes

16 Jan 2013
arXiv
9 Comments
ICLR 2013 Conference Track
Training Neural Networks with Stochastic Hessian-Free Optimization

Ryan Kiros

16 Jan 2013
arXiv
9 Comments
ICLR 2013 Conference Track
#### Not selected for presentation at this time

Efficient Estimation of Word Representations in Vector Space

Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean

16 Jan 2013
arXiv
5 Comments
ICLR 2013 Workshop Track
Sparse Penalty in Deep Belief Networks: Using the Mixed Norm Constraint

Xanadu Halkias, Sebastien Paris, Herve Glotin

20 Jan 2013
arXiv
3 Comments
Boltzmann Machines and Denoising Autoencoders for Image Denoising

Kyunghyun Cho

16 Jan 2013
arXiv
5 Comments
ICLR 2013 Workshop Track
Joint Space Neural Probabilistic Language Model for Statistical Machine
Translation

Tsuyoshi Okita

21 Jan 2013
arXiv
3 Comments
Deep Predictive Coding Networks

Rakesh Chalasani, Jose C. Principe

16 Jan 2013
arXiv
9 Comments
ICLR 2013 Workshop Track
Behavior Pattern Recognition using A New Representation Model

Qifeng Qiao, Peter A. Beling

16 Jan 2013
arXiv
5 Comments
Audio Artist Identification by Deep Neural Network

Zhen Hu, Kun Fu, Changshui Zhang

15 Jan 2013
arXiv
4 Comments
Clustering Learning for Robotic Vision

Eugenio Culurciello, Jordan Bates, Aysegul Dundar, Jose Carrasco, Clement Farabet

15 Jan 2013
arXiv
5 Comments
ICLR 2013 Workshop Track
When Does a Mixture of Products Contain a Product of Mixtures?

Guido F. Montufar, Jason Morton

10 Jan 2013
arXiv
5 Comments
ICLR 2013 Workshop Track
Switched linear encoding with rectified linear autoencoders

Leif Johnson, Craig Corcoran

16 Jan 2013
arXiv
3 Comments
Linear-Nonlinear-Poisson Neuron Networks Perform Bayesian Inference On Boltzmann Machines

Louis Yuanlong Shao

15 Jan 2013
arXiv
4 Comments
ICLR 2013 Workshop Track
Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences

Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara

15 Jan 2013
arXiv
7 Comments
ICLR 2013 Workshop Track
Unsupervised Feature Learning for low-level Local Image Descriptors

Christian Osendorfer, Justin Bayer, Patrick van der Smagt

20 Jan 2013
arXiv
6 Comments
ICLR 2013 Workshop Track
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities

Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun

16 Jan 2013
arXiv
4 Comments
ICLR 2013 Workshop Track
Learnable Pooling Regions for Image Classification

Mateusz Malinowski, Mario Fritz

17 Jan 2013
arXiv
11 Comments
ICLR 2013 Workshop Track
Natural Gradient Revisited

Razvan Pascanu, Yoshua Bengio

17 Jan 2013
arXiv
11 Comments
ICLR 2013 Workshop Track
The Expressive Power of Word Embeddings

Yanqing Chen, Bryan Perozzi, Rami Al-Rfou, Steven Skiena

15 Jan 2013
arXiv
6 Comments
Factorized Topic Models

Cheng Zhang, Carl Henrik Ek, Hedvig Kjellstrom

16 Jan 2013
arXiv
8 Comments
ICLR 2013 Workshop Track