ICLR 2016 - Workshop Track International Conference on Learning Representations 论文papers
ICLR 2016 - Workshop Track
International Conference on Learning Representations
May 2 - 4, 2016, Caribe Hilton, San Juan, Puerto Rico
Please see the venue website ( http://www.iclr.cc/doku.php?id=iclr2016:main) for more information.
Submission deadline: 18 Feb 2016
BLACK BOX VARIATIONAL INFERENCE FOR STATE SPACE MODELS pdf
Evan Archer, Il Memming Park, Lars Buesing, John Cunningham, Liam Paninski
Fine-grained pose prediction, normalization, and recognition pdf
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
Neural Network Training Variations in Speech and Subsequent Performance Evaluation pdf
Ewout van den Berg, Bhuvana Ramabhadran, Michael Picheny
Improving Variational Inference with Inverse Autoregressive Flow pdf
Diederik P. Kingma, Tim Salimans, Max Welling
Manifold traversal using density ridges pdf
Jonas Nordhaug Myhre, Michael Kampffmeyer, Robert Jenssen
Neural Variational Random Field Learning pdf
Volodymyr Kuleshov, Stefano Ermon
Learning Genomic Representations to Predict Clinical Outcomes in Cancer pdf
Safoora Yousefi, Congzheng Song, Nelson Nauata, Lee Cooper
Understanding Very Deep Networks via Volume Conservation pdf
Thomas Unterthiner, Sepp Hochreiter
Fixed Point Quantization of Deep Convolutional Networks pdf
Darryl D. Lin, Sachin S. Talathi, V. Sreekanth Annapureddy
Learning stable representations in a changing world with on-line t-SNE: proof of concept in the songbird pdf
Stéphane Deny, Emily Mackevicius, Tatsuo Okubo, Gordon Berman, Joshua Shaevitz, Michale Fee
A Neural Architecture for Representing and Reasoning about Spatial Relationships pdf
Eric Weiss, Brian Cheung, Bruno Olshausen
Stuck in a What? Adventures in Weight Space pdf
Zachary C. Lipton
Contextual convolutional neural network filtering improves EM image segmentation pdf
Xundong Wu, Yong Wu, Ligia Toro,Enrico Stefani
Input-Convex Deep Networks pdf
Brandon Amos, J. Zico Kolter
Distinct Class Saliency Maps for Multiple Object Images pdf
Wataru Shimoda, Keiji Yanai
Learning to SMILE(S) pdf
Stanisław Jastrzębski, Damian Leśniak, Wojciech Marian Czarnecki
Understanding Visual Concepts with Continuation Learning pdf
William F. Whitney, Michael Chang, Tejas Kulkarni, Joshua B. Tenenbaum
Generative Adversarial Metric pdf
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, Roland Memisevic
Why are deep nets reversible: A simple theory, with implications for training pdf
Sanjeev Arora, Yingyu Liang, Tengyu Ma
Revise Saturated Activation Functions pdf
Bing Xu, Ruitong Huang, Mu Li
Learning Retinal Tiling in a Model of Visual Attention pdf
Brian Cheung, Eric Weiss, Bruno Olshausen
Applying Representation Learning for Educational Data Mining pdf
Milagro Teruel, Laura Alonso Alemany
Deep Motif: Visualizing Genomic Sequence Classifications pdf
Jack Lanchantin, Ritambhara Singh, Zeming Lin, & Yanjun Qi
JOINT STOCHASTIC APPROXIMATION LEARNING OF HELMHOLTZ MACHINES pdf
HaotianXu, Zhijian Ou
Alternative structures for character-level RNNs pdf
Piotr Bojanowski, Armand Joulin, Tomas Mikolov
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning pdf
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke
Learning Dense Convolutional Embeddings for Semantic Segmentation pdf
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? pdf
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Ozlem Aslan Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matt Richardson
A Differentiable Transition Between Additive and Multiplicative Neurons pdf
Wiebke Koepp, Patrick van der Smagt, Sebastian Urban
Blending LSTMs into CNNs pdf
Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Ozlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton
A CONTROLLER-RECOGNIZER FRAMEWORK: HOW NECESSARY IS RECOGNITION FOR CONTROL? pdf
Marcin Moczulski, Kelvin Xu, Aaron Courville, Kyunghyun Cho
A constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models pdf
Beilun Wang, Ritambhara Singh, Yanjun Qi
Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model pdf
Fariba Yousefi, Zhenwen Dai, Carl Henrik Ek, Neil Lawrence
Fully Convolutional Nerual Network for Body Part Segmentation pdf
David Frank, Richard Kelley, David Feil-Seifer
Spatio-Temporal Video Autoencoder with Differentiable Memory pdf
Viorica Patraucean, Ankur Handa, Roberto Cipolla
Learning visual groups from co-occurrences in space and time pdf
Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
Deep Autoresolution Networks pdf
Gabriel Pereyra, Christian Szegedy
Resnet in Resnet: Generalizing Residual Architectures pdf
Sasha Targ, Diogo Almeida, Kevin Lyman
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks pdf
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Joshua C. Denny, Bradley A. Malin, Jimeng Sun
Hardware-Oriented Approximation of Convolutional Neural Networks pdf
Philipp Gysel, Mohammad Motamedi, Soheil Ghiasi
Sequence Modeling with Recurrent Tensor Networks pdf
Richard Kelley
GradNets: Dynamic Interpolation Between Neural Architectures pdf
Diogo Almeida, Nate Sauder
Visualizing and Understanding Recurrent Networks pdf
Andrej Karpathy, Justin Johnson, Li Fei-Fei
On-the-fly Network Pruning for Object Detection pdf
Marc Masana,Joost van de Weijer,Andrew D. Bagdanov
Using Encoder-Decoder Convolutional Networks to Segment Carbon Fiber CT pdf
Daniel Sammons, William P. Winfree
Convolutional Monte Carlo Rollouts for the Game of Go pdf
Peter H Jin, Kurt Keutzer
Neurogenic Deep Learning pdf
Timothy J. Draelos, Nadine E. Miner, Jonathan A. Cox, Christopher C. Lamb, Conrad D. James, James B. Aimone
Rectified Factor Networks for Biclustering pdf
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter
Seq-NMS for Video Object Detection pdf
Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jiana Li, Shuicheng Yan, Thomas S. Huang
CMA-ES for Hyperparameter Optimization of Deep Neural Networks pdf
Ilya Loshchilov, Frank Hutter
Lookahead Convolution Layer for Unidirectional Recurrent Neural Networks pdf
Chong Wang, Dani Yogatama, Adam Coates, Tony Han, Awni Hannun, Bo Xiao
RandomOut: Using a convolutional gradient norm to win The Filter Lottery pdf
Joseph Paul Cohen, Henry Z. Lo, Wei Ding
HARDWARE-FRIENDLY CONVOLUTIONAL NEURAL NETWORK WITH EVEN-NUMBER FILTER SIZE pdf
Song Yao, Song Han, Kaiyuan Guo, Jianqiao Wangni, Yu Wang
Initializing Entity Representations in Relational Models pdf
Teng Long, Ryan Lowe, Jackie Cheung, Doina Precup
ADDING GRADIENT NOISE IMPROVES LEARNING FOR VERY DEEP NETWORKS pdf
Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens
Robust Convolutional Neural Networks under Adversarial Noise pdf
Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello
Guided Sequence-to-Sequence Learning with External Rule Memory pdf
Jiatao Gu, Baotian Hu, Zhengdong Lu, Hang Li, Victor O.K. Li
Deconstructing the Ladder Network Architecture pdf
Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron Courville, Yoshua Bengio
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters pdf
Jelena Luketina,Mathias Berglund,Tapani Raiko
Scale Normalization pdf
Henry Z Lo, Kevin Amaral, Wei Ding
Neural Text Understanding with Attention Sum Reader pdf
Rudolf Kadlec, Martin Schmid, Ondřej Bajgar, Jan Kleindienst
Incorporating Nesterov Momentum into Adam pdf
Timothy Dozat
Binding via Reconstruction Clustering pdf
Klaus Greff, Rupesh Srivastava, Jürgen Schmidhuber
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series pdf
Maximilian Sölch, Justin Bayer, Marvin Ludersdorfer, Patrick van der Smagt
Deep Directed Generative Models with Energy-Based Probability Estimation pdf
Taesup Kim, Yoshua Bengio
Unsupervised Learning of Visual Structure using Predictive Generative Networks pdf
William Lotter, Gabriel Kreiman, David Cox
A metric learning approach for graph-based label propagation pdf
Pauline Wauquier,Mikaela Keller
Task Loss Estimation for Structured Prediction pdf
Dzmitry Bahdanau, Dmiriy Serdyuk, Philémon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron Courville, Yoshua Bengio
Autoencoding for Joint Relation Factorization and Discovery from Text pdf
Diego Marcheggiani, Ivan Titov
Adaptive Natural Gradient Learning Based on Riemannian Metric of Score Matching pdf
Ryo Karakida, Masato Okada, Shun-ichi Amari
Data Cleaning by Deep Dictionary Learning pdf
Zhongqi Lu,Qiang Yang
RECURRENT MODELS FOR AUDITORY ATTENTION IN MULTI-MICROPHONE DISTANCE SPEECH RECOGNITION pdf
Suyoun Kim, Ian Lane
Embedding Entity Pairs through Observed Relations for Knowledge Base Completion pdf
Dirk Weissenborn
Neural Enquirer: Learning to Query Tables in Natural Language pdf
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
End to end speech recognition in English and Mandarin pdf
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu
Revisiting Distributed Synchronous SGD pdf
Jianmin Chen, Rajat Monga, Samy Bengio, Rafal Jozefowicz
Sparse Distance Weighted Discrimination pdf
Boxiang Wang, Hui Zou
Sequence-to-Sequence RNNs for Text Summarization pdf
Ramesh Nallapati, Bing Xiang, Bowen Zhou
Document Context Language Models pdf
Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein
Lessons from the Rademacher Complexity for Deep Learning pdf
Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
Unitary Evolution Recurrent Neural Networks pdf
Martin Arjovsky, Amar Shah, Yoshua Bengio
LSTM-based Deep Learning Models for non-factoid answer selection pdf
Ming Tan,Cicero dos Santos,Bing Xiang,Bowen Zhou
Variance Reduction in SGD by Distributed Importance Sampling pdf
Guillaume Alain, Alex Lamb, Chinnadhurai Sankar, Aaron Courville, Yoshua Bengio
Neural Variational Inference for Text Processing pdf
Yishu Miao, Lei Yu, Phil Blunsom
Nonparametric Canonical Correlation Analysis pdf
Tomer Michaeli, Weiran Wang, Karen Livescu
Persistent RNNs: Stashing Weights on Chip pdf
Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse Engel, Awni Hannun, Sanjeev Satheesh
Convolutional Clustering for Unsupervised Learning pdf
Aysegul Dundar, Jonghoon Jin, and Eugenio Culurciello
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests pdf
Narges Razavian, David Sontag
Bidirectional Helmholtz Machines pdf
Jorg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio
Data Cleaning by Deep Dictionary Learning pdf
Zhongqi Lu, Qiang Yang
Neural network-based clustering using pairwise constraints pdf
Yen-Chang Hsu, Zsolt Kira
Multi-layer Representation Learning for Medical Concepts pdf
Edward Choi,Mohammad Taha Bahadori,Jimeng Sun,Elizabeth Searles,Catherine Coffey
Deep Bayesian Neural Nets as Deep Matrix Gaussian Processes pdf
Christos Louizos, Max Welling
Online Batch Selection for Faster Training of Neural Networks pdf
Ilya Loshchilov,Frank Hutter
Close-to-clean regularization relates virtual adversarial training, ladder networks and others pdf
Mudassar Abbas, Jyri Kivinen, Tapani Raiko
Neural Generative Question Answering pdf
Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li
Convolutional Models for Joint Object Categorization and Pose Estimation pdf
Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed Elgammal
Learning to Represent Words in Context with Multilingual Supervision pdf
Kazuya Kawakami, Chris Dyer
Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning pdf
Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah
ParseNet: Looking Wider to See Better pdf
Wei Liu, Andrew Rabinovich, Alexander C. Berg
How far can we go without convolution: Improving fully-connected networks pdf
Zhouhan Lin, Roland Memisevic, Kishore Konda
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference pdf
Yarin Gal, Zoubin Ghahramani
VARIATIONAL STOCHASTIC GRADIENT DESCENT pdf
Michael Tetelman
Mixtures of Sparse Autoregressive Networks pdf
Marc Goessling, Yali Amit
Efficient Inference in Occlusion-Aware Generative Models of Images pdf
Jonathan Huang, Kevin Murphy
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions pdf
Michael Figurnov, Dmitry Vetrov, Pushmeet Kohli
Dynamic Capacity Networks pdf
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron Courville
Conditional computation in neural networks for faster models pdf
Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau, Doina Precup
Adversarial Autoencoders pdf
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow
Learning to Decompose for Object Detection and Instance Segmentation pdf
Eunbyung Park, Alexander C. Berg
Coverage-based Neural Machine Translation pdf
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li
Stacked What-Where Auto-encoders pdf
Junbo Zhao, Michael Mathieu, Ross Goroshin, Yann LeCun
Learning Representations of Affect from Speech pdf
Sayan Ghosh, Eugene Laksana, Louis-Philippe Morency, Stefan Scherer
Universum Prescription: Regularization using Unlabeled Data pdf
Xiang Zhang,Yann LeCun
Deep Reinforcement Learning with an Action Space Defined by Natural Language pdf
Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf
Generating Sentences from a Continuous Space pdf
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Jozefowicz, Samy Bengio
Using Deep Learning to Predict Demographics from Mobile Phone Metadata pdf
Bjarke Felbo, Pål Sundsøy, Alex 'Sandy' Pentland, Sune Lehmann, Yves-Alexandre de Montjoye
A Minimalistic Approach to Sum-Product Network Learning for Real Applications pdf
Viktoriya Krakovna, Moshe Looks
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems pdf
Colin Raffel,Daniel P. W. Ellis
Improving performance of recurrent neural network with relu nonlinearity pdf
Sachin S. Talathi, Aniket Vartak
Basic Level Categorization Facilitates Visual Object Recognition pdf
Panqu Wang, Garrison Cottrell
A Deep Memory-based Architecture for Sequence-to-Sequence Learning pdf
Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu
Action Recognition using Visual Attention pdf
Shikhar Sharma, Ryan Kiros, Ruslan Salakhutdinov
Empirical performance upper bounds for image and video captioning pdf
Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews pdf
Bofang Li, Tao Liu, Xiaoyong Du, Deyuan Zhang, Zhe Zhao