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v1v2v3 (latest)

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016

Papers citing "The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"

50 / 1,581 papers shown

Title
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 123 36 0 23 Oct 2018
Compositional Coding Capsule Network with K-Means Routing for Text Classification Hao Ren Hong-wei Lu 241 55 0 22 Oct 2018
Bayesian Distance Clustering L. Duan David B. Dunson 130 18 0 19 Oct 2018
Data Association with Gaussian Processes Markus Kaiser Clemens Otte Thomas Runkler Carl Henrik Ek 165 0 0 16 Oct 2018
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models Kaspar Märtens Kieran R. Campbell C. Yau 134 0 0 16 Oct 2018
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization Eric Chu Peter J. Liu 186 19 0 12 Oct 2018
Predictive Uncertainty through Quantization Bastiaan S. Veeling Rianne van den Berg Max Welling UQCV 120 1 0 12 Oct 2018
Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu Jeffrey Regier Nilesh Tripuraneni Sai Li Jon D. McAuliffe 225 34 0 10 Oct 2018
Feature Selection using Stochastic Gates Yutaro Yamada Ofir Lindenbaum S. Negahban Y. Kluger 604 38 0 09 Oct 2018
A Comprehensive Survey of Deep Learning for Image Captioning Md Zakir Hossain Ferdous Sohel M. Shiratuddin Hamid Laga VLM 3DV 302 842 0 06 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 226 136 0 03 Oct 2018
Phasebook and Friends: Leveraging Discrete Representations for Source Separation Jonathan Le Roux Gordon Wichern Shinji Watanabe Andy M. Sarroff J. Hershey 133 77 0 02 Oct 2018
Improved Gradient-Based Optimization Over Discrete Distributions Evgeny Andriyash Arash Vahdat W. Macready 318 9 0 29 Sep 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2018 Hui Su Xiaoyu Shen Wenjie Li Dietrich Klakow 215 30 0 27 Sep 2018
Adaptive Pruning of Neural Language Models for Mobile Devices Raphael Tang Jimmy J. Lin 109 7 0 27 Sep 2018
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference S. Baluja David Marwood Michele Covell Nick Johnston MQ 179 8 0 24 Sep 2018
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling Judith Butepage Hedvig Kjellström Danica Kragic 149 8 0 24 Sep 2018
Interpretable Textual Neuron Representations for NLP Nina Poerner Benjamin Roth Hinrich Schütze FAtt AI4CE MILM 104 27 0 19 Sep 2018
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling Judith Butepage Danica Kragic DRL 91 0 0 19 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 74 0 0 12 Sep 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 191 53 0 10 Sep 2018
Are You Sure You Want To Do That? Classification with Verification Harris Chan Atef Chaudhury Kevin Shen 93 0 0 07 Sep 2018
Sample-Efficient Imitation Learning via Generative Adversarial Nets Lionel Blondé Alexandros Kalousis GAN 179 50 0 06 Sep 2018
On Tree-Based Neural Sentence Modeling Freda Shi Hao Zhou Jiaze Chen Lei Li AI4CE 137 43 0 29 Aug 2018
Scalable Population Synthesis with Deep Generative Modeling S. Borysov Jeppe Rich Francisco Câmara Pereira 108 64 0 21 Aug 2018
Discrete Structural Planning for Neural Machine Translation Raphael Shu Hideki Nakayama 112 2 0 14 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 233 15 0 05 Aug 2018
Learning Visual Question Answering by Bootstrapping Hard Attention Mateusz Malinowski Carl Doersch Adam Santoro Peter W. Battaglia OOD 274 98 0 01 Aug 2018
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks Mingzhang Yin Mingyuan Zhou MQ 207 11 0 30 Jul 2018
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 199 247 0 26 Jul 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro Ivan Titov BDL 157 57 0 25 Jul 2018
Deep Contextual Multi-armed Bandits Mark Collier H. Llorens 97 37 0 25 Jul 2018
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs Xiaoran Xu Songpeng Zu Yuan Zhang Hanning Zhou Wei Feng BDL 130 4 0 25 Jul 2018
Explaining Image Classifiers by Counterfactual GenerationInternational Conference on Learning Representations (ICLR), 2018 C. Chang Elliot Creager Anna Goldenberg David Duvenaud VLM 277 282 0 20 Jul 2018
Adversarially Learned Mixture Model Andrew Jesson Cécile Low-Kam Tanya Nair F. Soudan Florent Chandelier Nicolas Chapados 123 2 0 14 Jul 2018
Inferring Multidimensional Rates of Aging from Cross-Sectional Data Emma Pierson Pang Wei Koh Tatsunori Hashimoto D. Koller J. Leskovec N. Eriksson Abigail Z. Jacobs 181 9 0 12 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 239 119 0 12 Jul 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval Hanwei Wu M. Flierl SSL CML DRL 275 22 0 12 Jul 2018
Distributed Variational Representation Learning Iñaki Estella Aguerri Milad Sefidgaran 258 81 0 11 Jul 2018
Latent Alignment and Variational Attention Yuntian Deng Yoon Kim Justin T. Chiu Demi Guo Alexander M. Rush BDL 179 115 0 10 Jul 2018
Variational Bayesian dropout: pitfalls and fixesInternational Conference on Machine Learning (ICML), 2018 Jiri Hron A. G. Matthews Zoubin Ghahramani BDL 156 70 0 05 Jul 2018
Generating Multi-Categorical Samples with Generative Adversarial Networks R. Camino Christian A. Hammerschmidt R. State SyDa GAN 125 79 0 03 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2018 Griffin Lacey Graham W. Taylor S. Areibi 167 18 0 03 Jul 2018
Accurate Uncertainties for Deep Learning Using Calibrated RegressionInternational Conference on Machine Learning (ICML), 2018 Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 532 737 0 01 Jul 2018
Guided evolutionary strategies: Augmenting random search with surrogate gradients Niru Maheswaranathan Luke Metz George Tucker Dami Choi Jascha Narain Sohl-Dickstein 265 22 0 26 Jun 2018
Deep $k$ -Means: Jointly clustering with $k$ -Means and learning representationsPattern Recognition Letters (PR), 2018 Maziar Moradi Fard Thibaut Thonet Éric Gaussier 207 261 0 26 Jun 2018
Hierarchical VampPrior Variational Fair Auto-Encoder P. Botros Jakub M. Tomczak DRL 169 7 0 26 Jun 2018
Tensor Monte Carlo: particle methods for the GPU era Laurence Aitchison BDL DRL 237 14 0 22 Jun 2018
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations Ting-Li Chen Martin Renqiang Min Luke Huan 121 72 0 21 Jun 2018
On Machine Learning and Structure for Mobile Robots Markus Wulfmeier 129 5 0 15 Jun 2018

v1v2v3 (latest)

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016

Papers citing "The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"

50 / 1,581 papers shown

Title
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 123 36 0 23 Oct 2018
Compositional Coding Capsule Network with K-Means Routing for Text Classification Hao Ren Hong-wei Lu 241 55 0 22 Oct 2018
Bayesian Distance Clustering L. Duan David B. Dunson 130 18 0 19 Oct 2018
Data Association with Gaussian Processes Markus Kaiser Clemens Otte Thomas Runkler Carl Henrik Ek 165 0 0 16 Oct 2018
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models Kaspar Märtens Kieran R. Campbell C. Yau 134 0 0 16 Oct 2018
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization Eric Chu Peter J. Liu 186 19 0 12 Oct 2018
Predictive Uncertainty through Quantization Bastiaan S. Veeling Rianne van den Berg Max Welling UQCV 120 1 0 12 Oct 2018
Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu Jeffrey Regier Nilesh Tripuraneni Sai Li Jon D. McAuliffe 225 34 0 10 Oct 2018
Feature Selection using Stochastic Gates Yutaro Yamada Ofir Lindenbaum S. Negahban Y. Kluger 604 38 0 09 Oct 2018
A Comprehensive Survey of Deep Learning for Image Captioning Md Zakir Hossain Ferdous Sohel M. Shiratuddin Hamid Laga VLM 3DV 302 842 0 06 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 226 136 0 03 Oct 2018
Phasebook and Friends: Leveraging Discrete Representations for Source Separation Jonathan Le Roux Gordon Wichern Shinji Watanabe Andy M. Sarroff J. Hershey 133 77 0 02 Oct 2018
Improved Gradient-Based Optimization Over Discrete Distributions Evgeny Andriyash Arash Vahdat W. Macready 318 9 0 29 Sep 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2018 Hui Su Xiaoyu Shen Wenjie Li Dietrich Klakow 215 30 0 27 Sep 2018
Adaptive Pruning of Neural Language Models for Mobile Devices Raphael Tang Jimmy J. Lin 109 7 0 27 Sep 2018
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference S. Baluja David Marwood Michele Covell Nick Johnston MQ 179 8 0 24 Sep 2018
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling Judith Butepage Hedvig Kjellström Danica Kragic 149 8 0 24 Sep 2018
Interpretable Textual Neuron Representations for NLP Nina Poerner Benjamin Roth Hinrich Schütze FAtt AI4CE MILM 104 27 0 19 Sep 2018
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling Judith Butepage Danica Kragic DRL 91 0 0 19 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 74 0 0 12 Sep 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 191 53 0 10 Sep 2018
Are You Sure You Want To Do That? Classification with Verification Harris Chan Atef Chaudhury Kevin Shen 93 0 0 07 Sep 2018
Sample-Efficient Imitation Learning via Generative Adversarial Nets Lionel Blondé Alexandros Kalousis GAN 179 50 0 06 Sep 2018
On Tree-Based Neural Sentence Modeling Freda Shi Hao Zhou Jiaze Chen Lei Li AI4CE 137 43 0 29 Aug 2018
Scalable Population Synthesis with Deep Generative Modeling S. Borysov Jeppe Rich Francisco Câmara Pereira 108 64 0 21 Aug 2018
Discrete Structural Planning for Neural Machine Translation Raphael Shu Hideki Nakayama 112 2 0 14 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 233 15 0 05 Aug 2018
Learning Visual Question Answering by Bootstrapping Hard Attention Mateusz Malinowski Carl Doersch Adam Santoro Peter W. Battaglia OOD 274 98 0 01 Aug 2018
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks Mingzhang Yin Mingyuan Zhou MQ 207 11 0 30 Jul 2018
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 199 247 0 26 Jul 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro Ivan Titov BDL 157 57 0 25 Jul 2018
Deep Contextual Multi-armed Bandits Mark Collier H. Llorens 97 37 0 25 Jul 2018
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs Xiaoran Xu Songpeng Zu Yuan Zhang Hanning Zhou Wei Feng BDL 130 4 0 25 Jul 2018
Explaining Image Classifiers by Counterfactual GenerationInternational Conference on Learning Representations (ICLR), 2018 C. Chang Elliot Creager Anna Goldenberg David Duvenaud VLM 277 282 0 20 Jul 2018
Adversarially Learned Mixture Model Andrew Jesson Cécile Low-Kam Tanya Nair F. Soudan Florent Chandelier Nicolas Chapados 123 2 0 14 Jul 2018
Inferring Multidimensional Rates of Aging from Cross-Sectional Data Emma Pierson Pang Wei Koh Tatsunori Hashimoto D. Koller J. Leskovec N. Eriksson Abigail Z. Jacobs 181 9 0 12 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 239 119 0 12 Jul 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval Hanwei Wu M. Flierl SSL CML DRL 275 22 0 12 Jul 2018
Distributed Variational Representation Learning Iñaki Estella Aguerri Milad Sefidgaran 258 81 0 11 Jul 2018
Latent Alignment and Variational Attention Yuntian Deng Yoon Kim Justin T. Chiu Demi Guo Alexander M. Rush BDL 179 115 0 10 Jul 2018
Variational Bayesian dropout: pitfalls and fixesInternational Conference on Machine Learning (ICML), 2018 Jiri Hron A. G. Matthews Zoubin Ghahramani BDL 156 70 0 05 Jul 2018
Generating Multi-Categorical Samples with Generative Adversarial Networks R. Camino Christian A. Hammerschmidt R. State SyDa GAN 125 79 0 03 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2018 Griffin Lacey Graham W. Taylor S. Areibi 167 18 0 03 Jul 2018
Accurate Uncertainties for Deep Learning Using Calibrated RegressionInternational Conference on Machine Learning (ICML), 2018 Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 532 737 0 01 Jul 2018
Guided evolutionary strategies: Augmenting random search with surrogate gradients Niru Maheswaranathan Luke Metz George Tucker Dami Choi Jascha Narain Sohl-Dickstein 265 22 0 26 Jun 2018
Deep $k$ -Means: Jointly clustering with $k$ -Means and learning representationsPattern Recognition Letters (PR), 2018 Maziar Moradi Fard Thibaut Thonet Éric Gaussier 207 261 0 26 Jun 2018
Hierarchical VampPrior Variational Fair Auto-Encoder P. Botros Jakub M. Tomczak DRL 169 7 0 26 Jun 2018
Tensor Monte Carlo: particle methods for the GPU era Laurence Aitchison BDL DRL 237 14 0 22 Jun 2018
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations Ting-Li Chen Martin Renqiang Min Luke Huan 121 72 0 21 Jun 2018
On Machine Learning and Structure for Mobile Robots Markus Wulfmeier 129 5 0 15 Jun 2018