ICLR 2014--论文
ICLR 2014 Workshop Track
Submitted Papers
Do Deep Nets Really Need to be Deep?
Jimmy Lei Ba, Rich Caurana
26 Dec 2013ICLR 2014 workshop submissionReaders: Everyone10 Replies
Multi-GPU Training of ConvNets
Omry Yadan, Keith Adams, Yaniv Taigman, Marc'Aurelio Ranzato
26 Dec 2013ICLR 2014 workshop submissionReaders: Everyone9 Replies
Deep learning for class-generic object detection
Brody Huval, Adam Coates, Andrew Ng
25 Dec 2013ICLR 2014 workshop submissionReaders: Everyone2 Replies
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
Hailin Jin, Thomas Huang, Zhe Lin, Jianchao Yang, Thomas Paine
25 Dec 2013ICLR 2014 workshop submissionReaders: Everyone13 Replies
Relaxations for inference in restricted Boltzmann machines
Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning
24 Dec 2013ICLR 2014 workshop submissionReaders: Everyone3 Replies
Occupancy Detection in Vehicles Using Fisher Vector Image Representation
Yusuf Artan, Peter Paul
24 Dec 2013ICLR 2014 workshop submissionReaders: Everyone2 Replies
Learning Information Spread in Content Networks
Cédric Lagnier, Ludovic Denoyer, Sylvain Lamprier, Simon Bourigault, patrick gallinari
24 Dec 2013ICLR 2014 workshop submissionReaders: Everyone4 Replies
Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence
Mathias Berglund, Tapani Raiko
24 Dec 2013ICLR 2014 workshop submissionReaders: Everyone4 Replies
Generic Deep Networks with Wavelet Scattering
Edouard Oyallon, Stéphane Mallat, Laurent Sifre
23 Dec 2013ICLR 2014 workshop submissionReaders: Everyone4 Replies
Learning States Representations in POMDP
Gabriella Contardo, Ludovic Denoyer, Thierry Artieres, patrick gallinari
23 Dec 2013ICLR 2014 workshop submissionReaders: Everyone2 Replies
Competitive Learning with Feedforward Supervisory Signal for Pre-trained Multilayered Networks
Takashi Shinozaki, Yasushi Naruse
23 Dec 2013ICLR 2014 workshop submissionReaders: Everyone5 Replies
Unsupervised Feature Learning by Deep Sparse Coding
Yunlong He, Arthur Szlam, Yanjun Qi, Yun Wang, Koray Kavukcuoglu
23 Dec 2013ICLR 2014 workshop submissionReaders: Everyone7 Replies
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
23 Dec 2013ICLR 2014 workshop submissionReaders: Everyone3 Replies
Distributional Models and Deep Learning Embeddings: Combining the Best of Both Worlds
Irina Sergienya, Hinrich Schütze
20 Dec 2013ICLR 2014 workshop submissionReaders: Everyone7 Replies
End-to-End Text Recognition with Hybrid HMM Maxout Models
Ouais Alsharif, Joelle Pineau
20 Dec 2013ICLR 2014 workshop submissionReaders: Everyone5 Replies
Learning Factored Representations in a Deep Mixture of Experts
David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever
20 Dec 2013ICLR 2014 workshop submissionReaders: Everyone8 Replies
Learning Semantic Script Knowledge with Event Embeddings
Ashutosh Modi, ivan titov
19 Dec 2013ICLR 2014 workshop submissionReaders: Everyone7 Replies
Unsupervised feature learning by augmenting single images
Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
19 Dec 2013ICLR 2014 workshop submissionReaders: Everyone4 Replies
Deep Learning Embeddings for Discontinuous Linguistic Units
Wenpeng Yin, Hinrich Schütze
19 Dec 2013ICLR 2014 workshop submissionReaders: Everyone4 Replies
ICLR 2014 Conference Track
Submitted Papers
Zero-Shot Learning and Clustering for Semantic Utterance Classification
Yann N. Dauphin, Gokhan Tur, Dilek Hakkani-Tur, Larry Heck
04 Jan 2014ICLR 2014 conference submissionReaders: Everyone8 Replies
Correlation-based construction of neighborhood and edge features
Balázs Kégl
01 Jan 2014ICLR 2014 conference submissionReaders: Everyone6 Replies
Rate-Distortion Auto-Encoders
Luis G. Sanchez Giraldo, Jose C. Principe
31 Dec 2013ICLR 2014 conference submissionReaders: Everyone3 Replies
Learning Human Pose Estimation Features with Convolutional Networks
Ajrun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham Taylor, Christoph Bregler
30 Dec 2013ICLR 2014 conference submissionReaders: Everyone9 Replies
An empirical analysis of dropout in piecewise linear networks
David Warde-Farley, Ian Goodfellow, Aaron Courville, Yoshua Bengio
27 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
The return of AdaBoost.MH: multi-class Hamming trees
Balázs Kégl
27 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Efficient Visual Coding: From Retina To V2
Honghao Shan, Garrison Cottrell
26 Dec 2013ICLR 2014 conference submissionReaders: Everyone3 Replies
Deep Belief Networks for Image Denoising
Mohammad Ali Keyvanrad, mohammad pezeshki, Mohammad Mehdi Homayounpour
25 Dec 2013ICLR 2014 conference submissionReaders: Everyone3 Replies
Distinction between features extracted using deep belief networks
mohammad pezeshki, Sajjad Gholami, Ahmad Nickabadi
25 Dec 2013ICLR 2014 conference submissionReaders: Everyone4 Replies
Learning Paired-associate Images with An Unsupervised Deep Learning Architecture
Ti Wang, Daniel L. Silver
25 Dec 2013ICLR 2014 conference submissionReaders: Everyone8 Replies
A Simple Model for Learning Multilingual Compositional Semantics
Karl Moritz Hermann, Phil Blunsom
25 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew Saxe, James L. McClelland, Surya Ganguli
25 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun
25 Dec 2013ICLR 2014 conference submissionReaders: Everyone8 Replies
Group-sparse Embeddings in Collective Matrix Factorization
Arto Klami, Guillaume Bouchard, Abhishek Tripathi
25 Dec 2013ICLR 2014 conference submissionReaders: Everyone4 Replies
Sequentially Generated Instance-Dependent Image Representations for Classification
Matthieu Cord, patrick gallinari, Nicolas Thome, Ludovic Denoyer, Gabriel Dulac-Arnold
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Semistochastic Quadratic Bound Methods
Aleksandr Y. Aravkin, Anna Choromanska, Tony Jebara, Dimitri Kanevsky
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Adaptive Feature Ranking for Unsupervised Transfer Learning
Son N. Tran, Artur d'Avila Garcez
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone8 Replies
Learning generative models with visual attention
Charlie Tang, Nitish Srivastava, Ruslan Salakhutdinov
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
Intriguing properties of neural networks
Joan Bruna, Christian Szegedy, Ilya Sutskever, Ian Goodfellow, Wojciech Zaremba, Rob Fergus, Dumitru Erhan
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone21 Replies
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Tomas Mikolov, Andrea Frome, Samy Bengio, Jonathon Shlens, Yoram Singer, Greg S. Corrado, Jeffrey Dean, Mohammad Norouzi
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
One-Shot Adaptation of Supervised Deep Convolutional Models
Trevor Darrell, Eric Tzeng, Yangqing Jia, Judy Hoffman, Kate Saenko, Jeff Donahue
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone11 Replies
Nonparametric Weight Initialization of Neural Networks via Integral Representation
Sho Sonoda, Noboru Murata
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Michael Mathieu, Yann LeCun, Rob Fergus, David Eigen, Pierre Sermanet, Xiang Zhang
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
Learned versus Hand-Designed Feature Representations for 3d Agglomeration
John A. Bogovic, Gary B. Huang, Viren Jain
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks
Yoshua Bengio, Mehdi Mirza, Ian Goodfellow, Aaron Courville, Xia Da
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone19 Replies
Can recursive neural tensor networks learn logical reasoning?
Samuel R. Bowman
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone9 Replies
Factorial Hidden Markov Models for Learning Representations of Natural Language
Anjan Nepal, Alexander Yates
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
Fast Training of Convolutional Networks through FFTs
Michael Mathieu, Mikael Henaff, Yann LeCun
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone13 Replies
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Julian Ibarz, Ian Goodfellow, Sacha Arnoud, Vinay Shet, Yaroslav Bulatov
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
Neuronal Synchrony in Complex-Valued Deep Networks
David Reichert, Thomas Serre
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone8 Replies
Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling
24 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
Improving Deep Neural Networks with Probabilistic Maxout Units
Jost Tobias Springenberg, Martin Riedmiller
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone11 Replies
Learning Type-Driven Tensor-Based Meaning Representations
Tamara Polajnar, Luana Fagarasan, Stephen Clark
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error
David Buchaca, Enrique Romero, Ferran Mazzanti, Jordi Delgado
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone10 Replies
Unit Tests for Stochastic Optimization
Tom Schaul, Ioannis Antonoglou, David Silver
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Multi-View Priors for Learning Detectors from Sparse Viewpoint Data
Bojan Pepik, Michael Stark, Peter Gehler, Bernt Schiele
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Deep learning for neuroimaging: a validation study
Sergey M. Plis, Devon R. Hjelm, Ruslan Salakhutdinov, Vince D. Calhoun
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone9 Replies
Large-scale Multi-label Text Classification - Revisiting Neural Networks
Jinseok Nam, Jungi Kim, Iryna Gurevych, Johannes Fürnkranz
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone4 Replies
Learning Non-Linear Feature Maps, With An Application To Representation Learning
Dimitrios Athanasakis, John Shawe-Taylor, Delmiro Fernandez-Reyes
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
EXMOVES: Classifier-based Features for Scalable Action Recognition
Du Tran, Lorenzo Torresani
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu, Caglar Gulcehre, KyungHyun Cho, Yoshua Bengio
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone16 Replies
On the number of inference regions of deep feed forward networks with piece-wise linear activations
Razvan Pascanu, Guido F. Montufar, Yoshua Bengio
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone12 Replies
Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines
nan wang, Laurenz Wiskott, Dirk Jancke
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone9 Replies
Why does the unsupervised pretraining encourage moderate-sparseness?
Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
A Generative Product-of-Filters Model of Audio
Dawen Liang, Mathew D. Hoffman, Gautham Mysore
23 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
Multimodal Transitions for Generative Stochastic Networks
Sherjil Ozair, Li Yao, Yoshua Bengio
21 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
Revisiting Natural Gradient for Deep Networks
Razvan Pascanu, Yoshua Bengio
21 Dec 2013ICLR 2014 conference submissionReaders: Everyone9 Replies
Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data
Wei-Ying Ma, Tiejun Zhao, Kuiyuan Yang, Wei Yu, Yalong Bai
21 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Generative NeuroEvolution for Deep Learning
Phillip Verbancsics, Josh Harguess
21 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
k-Sparse Autoencoders
Alireza Makhzani, Brendan Frey
21 Dec 2013ICLR 2014 conference submissionReaders: Everyone25 Replies
An Architecture for Distinguishing between Predictors and Inhibitors in Reinforcement Learning
Patrick C. Connor, Thomas P. Trappenberg
21 Dec 2013ICLR 2014 conference submissionReaders: Everyone10 Replies
Sparse similarity-preserving hashing
Alex M. Bronstein, Guillermo Sapiro, Pablo Sprechmann, Jonathan Masci, Michael M. Bronstein
20 Dec 2013ICLR 2014 conference submissionReaders: Everyone9 Replies
A Primal-Dual Method for Training Recurrent Neural Networks Constrained by the Echo-State Property
Jianshu Chen, Li Deng
20 Dec 2013ICLR 2014 conference submissionReaders: Everyone14 Replies
Approximated Infomax Early Stopping: Revisiting Gaussian RBMs on Natural Images
Taichi Kiwaki, Takaki Makino, Kazuyuki Aihara
20 Dec 2013ICLR 2014 conference submissionReaders: Everyone8 Replies
Some Improvements on Deep Convolutional Neural Network Based Image Classification
Andrew Howard
20 Dec 2013ICLR 2014 conference submissionReaders: Everyone3 Replies
Learning Transformations for Classification Forests
Qiang Qiu, Guillermo Sapiro
20 Dec 2013ICLR 2014 conference submissionReaders: Everyone4 Replies
Continuous Learning: Engineering Super Features With Feature Algebras
Michael Tetelman
20 Dec 2013ICLR 2014 conference submissionReaders: Everyone11 Replies
Network In Network
Min Lin, Qiang Chen, Shuicheng Yan
19 Dec 2013ICLR 2014 conference submissionReaders: Everyone15 Replies
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Andrew Davis, Itamar Arel
19 Dec 2013ICLR 2014 conference submissionReaders: Everyone5 Replies
Bounding the Test Log-Likelihood of Generative Models
Yoshua Bengio, Li Yao, KyungHyun Cho
19 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
Reference Distance Estimator
Yanpeng Li
19 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
On Fast Dropout and its Applicability to Recurrent Networks
Justin Bayer, Christian Osendorfer, Sebastian Urban, Nutan Chen, Daniela Korhammer, Patrick van der Smagt
19 Dec 2013ICLR 2014 conference submissionReaders: Everyone12 Replies
Sparse, complex-valued representations of natural sounds learned with phase and amplitude continuity priors
Wiktor Mlynarski
19 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Learning to encode motion using spatio-temporal synchrony
Kishore Reddy Konda, Roland Memisevic, Vincent Michalski
18 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
Image Representation Learning Using Graph Regularized Auto-Encoders
Yiyi Liao, Yue Wang, Yong Liu
18 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Deep Convolutional Ranking for Multilabel Image Annotation
Sergey Ioffe, Alexander Toshev, Yangqing Jia, Thomas Leung, Yunchao Gong
18 Dec 2013ICLR 2014 conference submissionReaders: Everyone7 Replies
Understanding Deep Architectures using a Recursive Convolutional Network
David Eigen, Jason Rolfe, Rob Fergus, Yann LeCun
18 Dec 2013ICLR 2014 conference submissionReaders: Everyone13 Replies
Feature Graph Architectures
Richard Davis, Sanjay Chawla, Philip Leong
18 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling
Gary B. Huang, Viren Jain
18 Dec 2013ICLR 2014 conference submissionReaders: Everyone6 Replies