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