Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces

28 October 2021

Dmitry Vetrov

Papers citing "Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces"

31 / 31 papers shown

Title
Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbić VLM MLLM LRM 261 0 0 03 Apr 2025
Discovering Non-monotonic Autoregressive Orderings with Variational Inference Xuanlin Li Brandon Trabucco Dongmin Park Michael Luo S. Shen Trevor Darrell Yang Gao 77 13 0 27 Oct 2021
Coupled Gradient Estimators for Discrete Latent Variables Zhe Dong A. Mnih George Tucker BDL 130 13 0 15 Jun 2021
Differentiable Patch Selection for Image Recognition Jean-Baptiste Cordonnier Aravindh Mahendran Alexey Dosovitskiy Dirk Weissenborn Jakob Uszkoreit Thomas Unterthiner 76 96 0 07 Apr 2021
Latent Template Induction with Gumbel-CRFs Yao Fu Chuanqi Tan Bin Bi Mosha Chen Yansong Feng Alexander M. Rush BDL 54 13 0 29 Nov 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 214 53 0 20 Oct 2020
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 83 42 0 09 Oct 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 78 88 0 15 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 530 10,591 0 17 Feb 2020
Differentiable Top-k Operator with Optimal Transport Yujia Xie H. Dai Minshuo Chen Bo Dai T. Zhao H. Zha Wei Wei Tomas Pfister OT 61 27 0 16 Feb 2020
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution Artyom Gadetsky Kirill Struminsky Christopher Robinson Novi Quadrianto Dmitry Vetrov 117 11 0 22 Nov 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 121 220 0 14 Mar 2019
Cooperative Learning of Disjoint Syntax and Semantics Serhii Havrylov Germán Kruszewski Armand Joulin 55 48 0 25 Feb 2019
Non-Monotonic Sequential Text Generation Sean Welleck Kianté Brantley Hal Daumé Kyunghyun Cho 85 130 0 05 Feb 2019
Insertion-based Decoding with automatically Inferred Generation Order Jiatao Gu Qi Liu Kyunghyun Cho 73 109 0 04 Feb 2019
Reparameterizable Subset Sampling via Continuous Relaxations Sang Michael Xie Stefano Ermon BDL 65 99 0 29 Jan 2019
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro Ivan Titov BDL 42 56 0 25 Jul 2018
ListOps: A Diagnostic Dataset for Latent Tree Learning Nikita Nangia Samuel R. Bowman 77 138 0 17 Apr 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 125 1,228 0 22 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 98 272 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 160 575 0 21 Feb 2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 118 300 0 31 Oct 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 270 282 0 21 Mar 2017
Learning to Compose Words into Sentences with Reinforcement Learning Dani Yogatama Phil Blunsom Chris Dyer Edward Grefenstette Wang Ling NAI 70 159 0 28 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,388 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 200 2,541 0 02 Nov 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 129 812 0 13 Jun 2016
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 117 552 0 29 Mar 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 350 10,083 0 10 Feb 2015
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 252 299 0 15 Oct 2012