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Categorical Reparameterization with Gumbel-Softmax
v1v2v3v4v5 (latest)

Categorical Reparameterization with Gumbel-Softmax

3 November 2016
Eric Jang
S. Gu
Ben Poole
    BDL
ArXiv (abs)PDFHTML

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 3,025 papers shown
Title
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless
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IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg
A. Gritsenko
Mostafa Dehghani
C. Sønderby
Tim Salimans
94
61
0
22 Jun 2020
Deep Residual Mixture Models
Deep Residual Mixture Models
Perttu Hämäläinen
Martin Trapp
Tuure Saloheimo
Arno Solin
77
8
0
22 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference
Calibration of Model Uncertainty for Dropout Variational Inference
M. Laves
Sontje Ihler
Karl-Philipp Kortmann
T. Ortmaier
BDLUQCV
121
18
0
20 Jun 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
348
5,880
0
20 Jun 2020
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation
Hadi Jamali Rad
Attila Szabo
SSeg
90
1
0
19 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang
M. Jamnik
Pietro Lio
60
66
0
19 Jun 2020
Differentiable Language Model Adversarial Attacks on Categorical
  Sequence Classifiers
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
I. Fursov
A. Zaytsev
Nikita Klyuchnikov
A. Kravchenko
Evgeny Burnaev
AAMLSILM
62
5
0
19 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep
  Multi-Agent Reinforcement Learning
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Gregory Farquhar
Bei Peng
Shimon Whiteson
141
359
0
18 Jun 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
Zhe Dong
A. Mnih
George Tucker
DRL
74
34
0
18 Jun 2020
Maximum Roaming Multi-Task Learning
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
229
31
0
17 Jun 2020
Exploring Sparsity in Image Super-Resolution for Efficient Inference
Exploring Sparsity in Image Super-Resolution for Efficient Inference
Longguang Wang
Xiaoyu Dong
Yingqian Wang
Xinyi Ying
Zaiping Lin
W. An
Yulan Guo
SupR
63
4
0
17 Jun 2020
Fine-Grained Stochastic Architecture Search
Fine-Grained Stochastic Architecture Search
S. Chaudhuri
Elad Eban
Hanhan Li
Max Moroz
Yair Movshovitz-Attias
40
8
0
17 Jun 2020
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
Kacper Kania
Maciej Ziȩba
Tomasz Kajdanowicz
3DV
88
97
0
16 Jun 2020
Dissimilarity Mixture Autoencoder for Deep Clustering
Dissimilarity Mixture Autoencoder for Deep Clustering
Juan S. Lara
Fabio A. González
84
5
0
15 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus
Dami Choi
Daniel Tarlow
Andreas Krause
Chris J. Maddison
BDL
112
88
0
15 Jun 2020
Meta Approach to Data Augmentation Optimization
Meta Approach to Data Augmentation Optimization
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
87
35
0
14 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in
  Cooperative Tasks
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
OffRL
118
233
0
14 Jun 2020
Improving GAN Training with Probability Ratio Clipping and Sample
  Reweighting
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
Yue Wu
Pan Zhou
A. Wilson
Eric Xing
Zhiting Hu
GAN
118
36
0
12 Jun 2020
Reintroducing Straight-Through Estimators as Principled Methods for
  Stochastic Binary Networks
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks
Alexander Shekhovtsov
Dmitry Molchanov
MQ
85
16
0
11 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
173
419
0
11 Jun 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo
Shahin Boluki
Xinyu Gong
Zhangyang Wang
Xiaoning Qian
UQCV
72
18
0
11 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
CMLMedIm
131
243
0
11 Jun 2020
Discrete Latent Variable Representations for Low-Resource Text
  Classification
Discrete Latent Variable Representations for Low-Resource Text Classification
Shuning Jin
Sam Wiseman
K. Stratos
Karen Livescu
BDL
69
15
0
11 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
122
16
0
10 Jun 2020
Neural Sparse Representation for Image Restoration
Neural Sparse Representation for Image Restoration
Yuchen Fan
Jiahui Yu
Yiqun Mei
Yulun Zhang
Y. Fu
Ding Liu
Thomas S. Huang
47
32
0
08 Jun 2020
Improving Inference for Neural Image Compression
Improving Inference for Neural Image Compression
Yibo Yang
Robert Bamler
Stephan Mandt
97
123
0
07 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding
Unsupervised Differentiable Multi-aspect Network Embedding
Chanyoung Park
Carl Yang
Qi Zhu
Donghyun Kim
Hwanjo Yu
Jiawei Han
23
31
0
07 Jun 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh
Ehsan Hajiramezanali
Shahin Boluki
Mingyuan Zhou
N. Duffield
Krishna R. Narayanan
Xiaoning Qian
BDL
98
118
0
07 Jun 2020
AutoHAS: Efficient Hyperparameter and Architecture Search
AutoHAS: Efficient Hyperparameter and Architecture Search
Xuanyi Dong
Mingxing Tan
Adams Wei Yu
Daiyi Peng
Bogdan Gabrys
Quoc V. Le
TPM
89
24
0
05 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization
UFO-BLO: Unbiased First-Order Bilevel Optimization
Valerii Likhosherstov
Xingyou Song
K. Choromanski
Jared Davis
Adrian Weller
134
7
0
05 Jun 2020
A Meta-Bayesian Model of Intentional Visual Search
A Meta-Bayesian Model of Intentional Visual Search
M. Cullen
Jonathan Monney
M. Berk Mirza
R. Moran
44
3
0
05 Jun 2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
Alexander Shekhovtsov
V. Yanush
B. Flach
MQ
84
11
0
04 Jun 2020
Graphical Normalizing Flows
Graphical Normalizing Flows
Antoine Wehenkel
Gilles Louppe
TPMBDL
77
39
0
03 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era
Emergent Multi-Agent Communication in the Deep Learning Era
Angeliki Lazaridou
Marco Baroni
AI4CE
156
207
0
03 Jun 2020
Learning to Branch for Multi-Task Learning
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
112
179
0
02 Jun 2020
Consistent Estimators for Learning to Defer to an Expert
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar
David Sontag
95
205
0
02 Jun 2020
Variational Mutual Information Maximization Framework for VAE Latent
  Codes with Continuous and Discrete Priors
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors
Andriy Serdega
Dae-Shik Kim
DRL
32
0
0
02 Jun 2020
Latent Domain Learning with Dynamic Residual Adapters
Latent Domain Learning with Dynamic Residual Adapters
Lucas Deecke
Timothy M. Hospedales
Hakan Bilen
52
8
0
01 Jun 2020
Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net
Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net
Hyeong-Seok Choi
Hoon Heo
Jie Hwan Lee
Kyogu Lee
95
19
0
01 Jun 2020
In the Eye of the Beholder: Gaze and Actions in First Person Video
In the Eye of the Beholder: Gaze and Actions in First Person Video
Yin Li
Miao Liu
James M. Rehg
EgoV
179
71
0
31 May 2020
Learning to refer informatively by amortizing pragmatic reasoning
Learning to refer informatively by amortizing pragmatic reasoning
Julia White
Jesse Mu
Noah D. Goodman
LRM
53
21
0
31 May 2020
RelEx: A Model-Agnostic Relational Model Explainer
RelEx: A Model-Agnostic Relational Model Explainer
Yue Zhang
David DeFazio
Arti Ramesh
63
110
0
30 May 2020
OPAL-Net: A Generative Model for Part-based Object Layout Generation
OPAL-Net: A Generative Model for Part-based Object Layout Generation
Rishabh Baghel
Ravi Kiran Sarvadevabhatla
119
0
0
30 May 2020
Improving Unsupervised Sparsespeech Acoustic Models with Categorical
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Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization
Benjamin Milde
Christian Biemann
30
1
0
29 May 2020
CoDiNet: Path Distribution Modeling with Consistency and Diversity for
  Dynamic Routing
CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing
Huanyu Wang
Zequn Qin
Songyuan Li
Xi Li
63
7
0
29 May 2020
VMI-VAE: Variational Mutual Information Maximization Framework for VAE
  With Discrete and Continuous Priors
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors
Andriy Serdega
Dae-Shik Kim
DRL
49
4
0
28 May 2020
Generating Diverse and Consistent QA pairs from Contexts with
  Information-Maximizing Hierarchical Conditional VAEs
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
Dong Bok Lee
Seanie Lee
Woo Tae Jeong
Donghwan Kim
Sung Ju Hwang
79
71
0
28 May 2020
In search of isoglosses: continuous and discrete language embeddings in
  Slavic historical phonology
In search of isoglosses: continuous and discrete language embeddings in Slavic historical phonology
C. Cathcart
Florian Wandl
47
6
0
27 May 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDaAI4CE
104
17
0
27 May 2020
Class-Weighted Classification: Trade-offs and Robust Approaches
Class-Weighted Classification: Trade-offs and Robust Approaches
Ziyu Xu
Chen Dan
Justin Khim
Pradeep Ravikumar
73
39
0
26 May 2020
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