A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning

4 October 2021

Papers citing "A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning"

50 / 103 papers shown

Title
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction Abubakar Abid M. F. Balin James Zou SyDa 47 225 0 27 Jan 2019
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning Zhang Zhang Yi Zhao Jing Liu Shuo Wang Ruyi Tao Ruyue Xin Jiang Zhang AI4CE 47 54 0 30 Dec 2018
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 83 936 0 24 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 100 1,303 0 09 Dec 2018
Learning to Assemble Neural Module Tree Networks for Visual Grounding Daqing Liu Hanwang Zhang Feng Wu Zhengjun Zha 49 270 0 08 Dec 2018
Recursive Visual Attention in Visual Dialog Yulei Niu Hanwang Zhang Manli Zhang Jianhong Zhang Zhiwu Lu Ji-Rong Wen 83 119 0 06 Dec 2018
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator Andros Tjandra S. Sakti Satoshi Nakamura 52 44 0 31 Oct 2018
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks Patrick H. Chen Si Si Sanjiv Kumar Yang Li Cho-Jui Hsieh 47 21 0 29 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 87 132 0 03 Oct 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro Ivan Titov BDL 40 56 0 25 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 69 18 0 03 Jul 2018
Towards Binary-Valued Gates for Robust LSTM Training Zhuohan Li Di He Fei Tian Wei-neng Chen Tao Qin Liwei Wang Tie-Yan Liu MQ 41 47 0 08 Jun 2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Michael I. Jordan AAML SILM 84 116 0 31 May 2018
Hierarchical Neural Story Generation Angela Fan M. Lewis Yann N. Dauphin DiffM 173 1,619 0 13 May 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 78 242 0 31 Mar 2018
Differentiable Submodular Maximization Sebastian Tschiatschek Aytunc Sahin Andreas Krause 50 45 0 05 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 79 272 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 131 574 0 21 Feb 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 43 123 0 12 Feb 2018
Multi-Pointer Co-Attention Networks for Recommendation Yi Tay Anh Tuan Luu S. Hui 3DV 152 290 0 28 Jan 2018
Learning Binary Residual Representations for Domain-specific Video Streaming Yi-Hsuan Tsai Ming-Yuan Liu Deqing Sun Ming-Hsuan Yang Jan Kautz 54 35 0 14 Dec 2017
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 430 1,144 0 04 Dec 2017
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 93 385 0 30 Nov 2017
Compressing Word Embeddings via Deep Compositional Code Learning Raphael Shu Hideki Nakayama 65 129 0 03 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 94 300 0 31 Oct 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 57 51 0 26 Oct 2017
Hierarchical Multi-scale Attention Networks for Action Recognition Shiyang Yan Jeremy S. Smith Wenjin Lu Bailing Zhang 42 37 0 25 Aug 2017
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search Stephen Mussmann Daniel Levy Stefano Ermon FedML 33 22 0 11 Jul 2017
Learning to Compose Task-Specific Tree Structures Jihun Choi Kang Min Yoo Sang-goo Lee 63 189 0 10 Jul 2017
Neural Machine Translation with Gumbel-Greedy Decoding Jiatao Gu Daniel Jiwoong Im Victor O.K. Li 73 35 0 22 Jun 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model Jiasen Lu A. Kannan Jianwei Yang Devi Parikh Dhruv Batra BDL 67 137 0 05 Jun 2017
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols Serhii Havrylov Ivan Titov LLMAG 70 288 0 31 May 2017
Boltzmann Exploration Done Right Nicolò Cesa-Bianchi Claudio Gentile Gábor Lugosi Gergely Neu 95 170 0 29 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 179 591 0 22 May 2017
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary Masataro Asai A. Fukunaga 127 172 0 29 Apr 2017
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Rakshith Shetty Marcus Rohrbach Lisa Anne Hendricks Mario Fritz Bernt Schiele 51 144 0 30 Mar 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 214 282 0 21 Mar 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations Igor Mordatch Pieter Abbeel LLMAG 116 702 0 15 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 156 963 0 01 Mar 2017
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution Matt J. Kusner José Miguel Hernández-Lobato GAN 95 328 0 12 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 193 2,531 0 02 Nov 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 159 290 0 22 Feb 2016
A Poisson process model for Monte Carlo Chris J. Maddison 60 22 0 18 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 469 2,570 0 25 Jan 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem Yutian Chen Zoubin Ghahramani 68 16 0 30 Jun 2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 135 3,119 0 28 Feb 2015
A* Sampling Chris J. Maddison Daniel Tarlow T. Minka 83 392 0 31 Oct 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 171 730 0 31 Jan 2014