Gradient Estimation with Stochastic Softmax Tricks

Gradient Estimation with Stochastic Softmax Tricks

15 June 2020

Chris J. Maddison

Papers citing "Gradient Estimation with Stochastic Softmax Tricks"

12 / 62 papers shown

Title
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection Abhinav Kumar Garrick Brazil Xiaoming Liu 16 91 0 31 Mar 2021
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax Thomas Strypsteen Alexander Bertrand 13 50 0 11 Feb 2021
Latent Template Induction with Gumbel-CRFs Yao Fu Chuanqi Tan Bin Bi Mosha Chen Yansong Feng Alexander M. Rush BDL 9 12 0 29 Nov 2020
Wasserstein Learning of Determinantal Point Processes Lucas Anquetil Mike Gartrell A. Rakotomamonjy Ugo Tanielian Clément Calauzènes 8 2 0 19 Nov 2020
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing Chunchuan Lyu Shay B. Cohen Ivan Titov 24 11 0 23 Oct 2020
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 34 38 0 09 Oct 2020
Action sequencing using visual permutations Michael G. Burke Kartic Subr S. Ramamoorthy LRM 20 4 0 03 Aug 2020
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization Hedda Cohen Indelman Tamir Hazan 17 8 0 11 Jul 2020
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables Weonyoung Joo Dongjun Kim Seung-Jae Shin Il-Chul Moon 19 1 0 04 Mar 2020
A Gibbs sampler for a class of random convex polytopes Pierre E. Jacob Ruobin Gong P. Edlefsen A. Dempster 16 14 0 25 Oct 2019
Deep Declarative Networks: A New Hope Stephen Gould Richard I. Hartley Dylan Campbell AI4CE 17 101 0 11 Sep 2019
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 195 296 0 15 Oct 2012