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Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 3,025 papers shown

Title
Adversarial Semantic Alignment for Improved Image Captions Pierre Dognin Igor Melnyk Youssef Mroueh Jerret Ross Tom Sercu 59 16 0 30 Apr 2018
Neural Particle Smoothing for Sampling from Conditional Sequence Models Chu-cheng Lin Jason Eisner BDL 70 12 0 28 Apr 2018
Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications Guy Hadash Einat Kermany Boaz Carmeli Ofer Lavi George Kour Alon Jacovi AI4TS 52 43 0 24 Apr 2018
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation Tiancheng Zhao Kyusong Lee M. Eskénazi DRL 107 141 0 22 Apr 2018
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching Xiao Yang Madian Khabsa Miaosen Wang Wei Wang Madian Khabsa Ahmed Hassan Awadallah Daniel Kifer C. Lee Giles 64 23 0 22 Apr 2018
ListOps: A Diagnostic Dataset for Latent Tree Learning Nikita Nangia Samuel R. Bowman 89 138 0 17 Apr 2018
Graphical Generative Adversarial Networks Chongxuan Li Max Welling Jun Zhu Bo Zhang GAN 54 36 0 10 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 103 169 0 06 Apr 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 133 32 0 05 Apr 2018
Convolutional Neural Networks Regularized by Correlated Noise Shamak Dutta B. Tripp Graham W. Taylor 54 6 0 03 Apr 2018
Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings Da-Rong Liu Kuan-Yu Chen Hung-yi Lee Lin-Shan Lee SSL 89 48 0 01 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 127 242 0 31 Mar 2018
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering Unnat Jain Svetlana Lazebnik Alex Schwing MLLM 81 82 0 29 Mar 2018
Actor-Critic based Training Framework for Abstractive Summarization Piji Li Lidong Bing Wai Lam OffRL 98 49 0 28 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 110 90 0 20 Mar 2018
Neural Lattice Language Models Jacob Buckman Graham Neubig 71 30 0 13 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 95 96 0 13 Mar 2018
Discriminability objective for training descriptive captions Ruotian Luo Brian L. Price Scott D. Cohen Gregory Shakhnarovich 140 203 0 12 Mar 2018
Fast Decoding in Sequence Models using Discrete Latent Variables Łukasz Kaiser Aurko Roy Ashish Vaswani Niki Parmar Samy Bengio Jakob Uszkoreit Noam M. Shazeer 85 232 0 09 Mar 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 186 362 0 02 Mar 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning Roberta Raileanu Emily L. Denton Arthur Szlam Rob Fergus 97 202 0 26 Feb 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 123 273 0 23 Feb 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 188 577 0 21 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 99 76 0 14 Feb 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation Dane S. Corneil W. Gerstner Johanni Brea OffRL 86 62 0 12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 159 860 0 09 Feb 2018
Neural Network Renormalization Group Shuo-Hui Li Lei Wang BDL DRL 116 125 0 08 Feb 2018
Generating Triples with Adversarial Networks for Scene Graph Construction Matthew Klawonn Eric Heim GAN GNN 63 22 0 07 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 172 243 0 07 Feb 2018
Discrete Autoencoders for Sequence Models Lukasz Kaiser Samy Bengio BDL 94 50 0 29 Jan 2018
Multi-Pointer Co-Attention Networks for Recommendation Yi Tay Anh Tuan Luu S. Hui 3DV 191 290 0 28 Jan 2018
MaskGAN: Better Text Generation via Filling in the______ W. Fedus Ian Goodfellow Andrew M. Dai 141 470 0 23 Jan 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee Seungjin Choi 66 27 0 17 Jan 2018
Unsupervised Cipher Cracking Using Discrete GANs Aidan Gomez Sicong Huang Ivan Zhang Bryan M. Li Muhammad Osama Lukasz Kaiser GAN 69 59 0 15 Jan 2018
An Interpretable Reasoning Network for Multi-Relation Question Answering Mantong Zhou Minlie Huang Xiaoyan Zhu KELM 84 120 0 15 Jan 2018
Quadrature Compound: An approximating family of distributions Joshua V. Dillon I. Langmore TPM 48 2 0 09 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 144 339 0 07 Jan 2018
Dropout Feature Ranking for Deep Learning Models C. Chang Ladislav Rampášek Anna Goldenberg OOD 73 51 0 22 Dec 2017
Privacy-Preserving Adversarial Networks Ardhendu Shekhar Tripathy Ye Wang Prakash Ishwar PICV 95 84 0 19 Dec 2017
Learning Binary Residual Representations for Domain-specific Video Streaming Yi-Hsuan Tsai Ming-Yuan Liu Deqing Sun Ming-Hsuan Yang Jan Kautz 67 35 0 14 Dec 2017
Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering Mengyao Zhai Jiacheng Chen Ruizhi Deng Lei Chen Ligeng Zhu Greg Mori 3DH 62 2 0 05 Dec 2017
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 547 1,150 0 04 Dec 2017
The reparameterization trick for acquisition functions James T. Wilson Riccardo Moriconi Frank Hutter M. Deisenroth 78 81 0 01 Dec 2017
Probabilistic Adaptive Computation Time Michael Figurnov Artem Sobolev Dmitry Vetrov BDL 41 8 0 01 Dec 2017
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 134 47 0 01 Dec 2017
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 113 385 0 30 Nov 2017
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 135 352 0 28 Nov 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models Francis Dutil Çağlar Gülçehre Adam Trischler Yoshua Bengio 56 12 0 28 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 154 640 0 26 Nov 2017
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model Eugene Golikov Vlad Zhukov M. Kretov 46 0 0 21 Nov 2017