ICLR - arXivDaily 期刊&会议

1312.6077 2014-12-19 cs.CV q-bio.NC

Efficient Visual Coding: From Retina To V2

Honghao Shan, Garrison Cottrell

Comments For the ICLR 2014 conference

1312.5857 2014-11-27 stat.ML cs.LG

A Generative Product-of-Filters Model of Audio

Dawen Liang, Matthew D. Hoffman, Gautham J. Mysore

Comments ICLR 2014 conference-track submission. Added link to the source code

1312.5921 2014-11-19 stat.ML cs.LG

Group-sparse Embeddings in Collective Matrix Factorization

Arto Klami, Guillaume Bouchard, Abhishek Tripathi

Comments 9+2 pages, submitted for International Conference on Learning Representations 2014. This version fixes minor typographic mistakes, has one new paragraph on computational efficiency, and describes the algorithm in more detail in the Supplementary material

1301.3592 2014-08-22 cs.LG cs.CV cs.RO

Deep Learning for Detecting Robotic Grasps

Ian Lenz, Honglak Lee, Ashutosh Saxena

Comments Current version was accepted to IJRR Special Issue on Robot Vision 2014 Workshop version accepted to ICLR 2013. Conference version accepted to RSS 2013

1311.6184 2014-05-13 cs.LG

Bounding the Test Log-Likelihood of Generative Models

Yoshua Bengio, Li Yao, Kyunghyun Cho

Comments 10 pages, 1 figure, 2 tables. International Conference on Learning Representations (ICLR'2014, conference track)

1312.6026 2014-04-25 cs.NE cs.LG stat.ML

How to Construct Deep Recurrent Neural Networks

Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Yoshua Bengio

Comments Accepted at ICLR 2014 (Conference Track). 10-page text + 3-page references

1312.7381 2014-04-18 cs.LG

Rate-Distortion Auto-Encoders

Luis G. Sanchez Giraldo, Jose C. Principe

Comments Submission International Conference on Learning Representations 2014

1312.5785 2014-03-31 cs.CV

EXMOVES: Classifier-based Features for Scalable Action Recognition

Du Tran, Lorenzo Torresani

Comments In Proceedings of the 2nd International Conference on Learning Representations, Banff, Canada, 2014

1312.6115 2014-03-25 stat.ML cs.LG cs.NE q-bio.NC

Neuronal Synchrony in Complex-Valued Deep Networks

David P. Reichert, Thomas Serre

Comments ICLR 2014, accepted to conference track. This version: added proceedings note, minor additions

1312.6173 2014-03-21 cs.CL

Multilingual Distributed Representations without Word Alignment

Karl Moritz Hermann, Phil Blunsom

Comments To appear at ICLR 2014

1312.5940 2014-03-11 cs.CV

Generic Deep Networks with Wavelet Scattering

Edouard Oyallon, Stéphane Mallat, Laurent Sifre

Comments Workshop, 3 pages, prepared for ICLR 2014

1312.6055 2014-02-26 cs.LG

Unit Tests for Stochastic Optimization

Tom Schaul, Ioannis Antonoglou, David Silver

Comments Final submission to ICLR 2014 (revised according to reviews, additional results added)

1312.5847 2014-02-20 cs.NE cs.LG stat.ML

Deep learning for neuroimaging: a validation study

Sergey M. Plis, Devon R. Hjelm, Ruslan Salakhutdinov, Vince D. Calhoun

Comments ICLR 2014 revisions

1312.6168 2014-02-19 cs.LG cs.CL

Factorial Hidden Markov Models for Learning Representations of Natural Language

Anjan Nepal, Alexander Yates

Comments 12 pages, 2 tables, ICLR-2014

1312.5985 2014-02-19 cs.CL cs.LG

Learning Type-Driven Tensor-Based Meaning Representations

Tamara Polajnar, Luana Fagarasan, Stephen Clark

Comments Submitted as part of the open review process for ICLR'14. The paper contains 10 pages, 3 figures, 4 tables

1312.5559 2014-02-19 cs.CL

Distributional Models and Deep Learning Embeddings: Combining the Best of Both Worlds

Irina Sergienya, Hinrich Schütze

Comments 4 pages, 1 table, ICLR Workshop; main experimental table was extended with more experimental results; related word added

1312.4695 2014-02-19 cs.LG cs.SD q-bio.NC

Sparse, complex-valued representations of natural sounds learned with phase and amplitude continuity priors

Wiktor Mlynarski

Comments 11 + 7 pages This version includes changes suggested by ICLR 2014 reviewers

1312.6192 2014-02-18 cs.CL cs.LG

Can recursive neural tensor networks learn logical reasoning?

Samuel R. Bowman

Comments Submitted for presentation at ICLR 2014. Source code and data: http://goo.gl/PSyF5u

1312.6095 2014-02-18 cs.CV

Multi-View Priors for Learning Detectors from Sparse Viewpoint Data

Bojan Pepik, Michael Stark, Peter Gehler, Bernt Schiele

Comments 13 pages, 7 figures, 4 tables, International Conference on Learning Representations 2014

1312.5398 2014-02-18 cs.LG stat.ML

Continuous Learning: Engineering Super Features With Feature Algebras

Michael Tetelman

Comments Submitted to ICLR 2014

1312.5242 2014-02-18 cs.CV cs.LG cs.NE

Unsupervised feature learning by augmenting single images

Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox

Comments ICLR 2014 workshop track submission (7 pages, 4 figures, 1 table)

1312.4461 2014-01-30 cs.LG

Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks

Andrew Davis, Itamar Arel

Comments 10 pages, 5 figures. Submitted to ICLR 2014

1312.6171 2014-01-14 cs.NE cs.CV cs.LG

Learning Paired-associate Images with An Unsupervised Deep Learning Architecture

Ti Wang, Daniel L. Silver

Comments 9 pages, for ICLR-2014

1312.6205 2014-01-03 stat.ML cs.LG

Relaxations for inference in restricted Boltzmann machines

Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning

Comments ICLR 2014 workshop track submission

1312.6158 2014-01-03 cs.LG cs.CV cs.NE

Deep Belief Networks for Image Denoising

Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Ali Homayounpour

Comments ICLR 2014 Conference track

1312.6157 2014-01-03 cs.LG cs.NE

Distinction between features extracted using deep belief networks

Mohammad Pezeshki, Sajjad Gholami, Ahmad Nickabadi

Comments 4 pages, 4 figures, ICLR 2014 workshop track

1312.5783 2013-12-23 cs.LG cs.CV cs.NE

Unsupervised Feature Learning by Deep Sparse Coding

Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi

Comments 9 pages, submitted to ICLR

1301.3551 2013-06-05 cs.LG cs.CV

Information Theoretic Learning with Infinitely Divisible Kernels

Luis G. Sanchez Giraldo, Jose C. Principe

Comments Modified submission for International Conference on Learning Representations 2013

1301.3641 2013-05-02 cs.LG cs.NE stat.ML

Training Neural Networks with Stochastic Hessian-Free Optimization

Ryan Kiros

Comments 11 pages, ICLR 2013

1301.3568 2013-05-02 stat.ML cs.LG

Joint Training Deep Boltzmann Machines for Classification

Ian J. Goodfellow, Aaron Courville, Yoshua Bengio

Comments Major revision with new techniques and experiments. This version includes new material put on the poster for the ICLR workshop