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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
Bi-level Actor-Critic for Multi-agent Coordination
Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
188
93
0
08 Sep 2019
Relationships from Entity Stream
Relationships from Entity Stream
Martin Andrews
Sam Witteveen
AI4TSGNN
23
0
0
07 Sep 2019
Semantic Role Labeling with Iterative Structure Refinement
Semantic Role Labeling with Iterative Structure Refinement
Chunchuan Lyu
Shay B. Cohen
Ivan Titov
OffRL
77
22
0
07 Sep 2019
An Auxiliary Classifier Generative Adversarial Framework for Relation
  Extraction
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction
Yun Zhao
GAN
27
2
0
06 Sep 2019
Population-based Gradient Descent Weight Learning for Graph Coloring
  Problems
Population-based Gradient Descent Weight Learning for Graph Coloring Problems
Olivier Goudet
B. Duval
Jin-Kao Hao
37
1
0
05 Sep 2019
Mixture Content Selection for Diverse Sequence Generation
Mixture Content Selection for Diverse Sequence Generation
Jaemin Cho
Minjoon Seo
Hannaneh Hajishirzi
57
61
0
04 Sep 2019
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery
Chenwei Ding
Biwei Huang
Kun Zhang
Dacheng Tao
CML
48
6
0
04 Sep 2019
Improving Disentangled Representation Learning with the Beta Bernoulli
  Process
Improving Disentangled Representation Learning with the Beta Bernoulli Process
P. Gyawali
Zhiyuan Li
Cameron Knight
S. Ghimire
B. Horácek
J. Sapp
Linwei Wang
CMLCoGeDRL
66
12
0
03 Sep 2019
Feature Gradients: Scalable Feature Selection via Discrete Relaxation
Feature Gradients: Scalable Feature Selection via Discrete Relaxation
Rishit Sheth
Nicolò Fusi
29
3
0
27 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDLDRL
55
33
0
26 Aug 2019
Differentiable Product Quantization for End-to-End Embedding Compression
Differentiable Product Quantization for End-to-End Embedding Compression
Ting Chen
Lala Li
Yizhou Sun
MQ
55
68
0
26 Aug 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and
  Generalist Convolution Kernels
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
73
87
0
26 Aug 2019
Efficient Deep Neural Networks
Efficient Deep Neural Networks
Bichen Wu
61
12
0
20 Aug 2019
Hamming Sentence Embeddings for Information Retrieval
Hamming Sentence Embeddings for Information Retrieval
Felix Hamann
N. Kurz
A. Ulges
31
2
0
15 Aug 2019
Mastering emergent language: learning to guide in simulated navigation
Mastering emergent language: learning to guide in simulated navigation
Mathijs Mul
Diane Bouchacourt
Elia Bruni
LLMAG
50
9
0
14 Aug 2019
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person
  Re-ID via Image Captioning
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning
Shiyang Yan
Jun Xu
Yuai Liu
Lin Xu
104
7
0
14 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
124
439
0
11 Aug 2019
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
S. Morozov
Artem Babenko
82
29
0
11 Aug 2019
Neural Image Compression and Explanation
Neural Image Compression and Explanation
Xiang Li
Shihao Ji
35
10
0
09 Aug 2019
Promoting Coordination through Policy Regularization in Multi-Agent Deep
  Reinforcement Learning
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Julien Roy
Paul Barde
Félix G. Harvey
Derek Nowrouzezahrai
C. Pal
58
3
0
06 Aug 2019
SqueezeNAS: Fast neural architecture search for faster semantic
  segmentation
SqueezeNAS: Fast neural architecture search for faster semantic segmentation
Albert Eaton Shaw
D. Hunter
F. Iandola
Sammy Sidhu
SSeg
139
73
0
05 Aug 2019
Unsupervised Learning of Depth and Deep Representation for Visual
  Odometry from Monocular Videos in a Metric Space
Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space
Xiaochuan Yin
Chengju Liu
MDE
63
0
0
04 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
194
1,480
0
02 Aug 2019
Deep-learning-based Optimization of the Under-sampling Pattern in MRI
Deep-learning-based Optimization of the Under-sampling Pattern in MRI
C. D. Bahadir
Alan Q. Wang
Adrian Dalca
M. Sabuncu
51
9
0
26 Jul 2019
Pre-Learning Environment Representations for Data-Efficient Neural
  Instruction Following
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
David Gaddy
Dan Klein
78
11
0
23 Jul 2019
Off-policy Learning for Multiple Loggers
Off-policy Learning for Multiple Loggers
Li He
Long Xia
Wei Zeng
Zhi-Ming Ma
Yue Zhao
D. Yin
OffRL
57
10
0
23 Jul 2019
Information-Bottleneck Approach to Salient Region Discovery
Information-Bottleneck Approach to Salient Region Discovery
A. Zhmoginov
Ian S. Fischer
Mark Sandler
73
19
0
22 Jul 2019
Product Aesthetic Design: A Machine Learning Augmentation
Product Aesthetic Design: A Machine Learning Augmentation
Alex Burnap
J. Hauser
Artem Timoshenko
41
47
0
17 Jul 2019
The continuous Bernoulli: fixing a pervasive error in variational
  autoencoders
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-Ganem
John P. Cunningham
DRL
141
84
0
16 Jul 2019
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Towaki Takikawa
David Acuna
Varun Jampani
Sanja Fidler
118
614
0
12 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
94
61
0
11 Jul 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Ilyes Khemakhem
Diederik P. Kingma
Ricardo Pio Monti
Aapo Hyvarinen
OOD
108
599
0
10 Jul 2019
Hybrid system identification using switching density networks
Hybrid system identification using switching density networks
Michael G. Burke
Yordan V. Hristov
S. Ramamoorthy
65
13
0
09 Jul 2019
Generative Models for Automatic Chemical Design
Generative Models for Automatic Chemical Design
Daniel Schwalbe-Koda
Rafael Gómez-Bombarelli
MedImAI4CE
87
81
0
02 Jul 2019
EGG: a toolkit for research on Emergence of lanGuage in Games
EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov
Rahma Chaabouni
Diane Bouchacourt
Marco Baroni
100
76
0
01 Jul 2019
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
150
1,278
0
01 Jul 2019
The Thermodynamic Variational Objective
The Thermodynamic Variational Objective
Vaden Masrani
T. Le
Frank Wood
130
48
0
28 Jun 2019
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory
  Network
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
Zhangheng Li
Jia-Xing Zhong
Jingjia Huang
Tao Zhang
Thomas H. Li
Ge Li
65
2
0
28 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Roland Hafner
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
111
27
0
26 Jun 2019
Latent Multi-Criteria Ratings for Recommendations
Latent Multi-Criteria Ratings for Recommendations
Pan Li
Alexander Tuzhilin
60
23
0
26 Jun 2019
An Unsupervised Bayesian Neural Network for Truth Discovery in Social
  Networks
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks
Jielong Yang
Wee Peng Tay
BDL
53
8
0
25 Jun 2019
Learning Causal State Representations of Partially Observable
  Environments
Learning Causal State Representations of Partially Observable Environments
Amy Zhang
Zachary Chase Lipton
Luis Villaseñor-Pineda
Kamyar Azizzadenesheli
Anima Anandkumar
Laurent Itti
Joelle Pineau
Tommaso Furlanello
CML
117
51
0
25 Jun 2019
Learning Latent Trees with Stochastic Perturbations and Differentiable
  Dynamic Programming
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
Caio Corro
Ivan Titov
75
17
0
24 Jun 2019
SampleFix: Learning to Generate Functionally Diverse Fixes
SampleFix: Learning to Generate Functionally Diverse Fixes
Hossein Hajipour
Apratim Bhattacharyya
Cristian-Alexandru Staicu
Mario Fritz
40
5
0
24 Jun 2019
Decomposable Neural Paraphrase Generation
Decomposable Neural Paraphrase Generation
Zichao Li
Xin Jiang
Lifeng Shang
Qun Liu
67
90
0
24 Jun 2019
Densely Connected Search Space for More Flexible Neural Architecture
  Search
Densely Connected Search Space for More Flexible Neural Architecture Search
Jiemin Fang
Yuzhu Sun
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
120
125
0
23 Jun 2019
Smaller Text Classifiers with Discriminative Cluster Embeddings
Smaller Text Classifiers with Discriminative Cluster Embeddings
Mingda Chen
Kevin Gimpel
25
6
0
23 Jun 2019
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
Marek Śmieja
Maciej Wołczyk
Jacek Tabor
Bernhard C. Geiger
44
23
0
21 Jun 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional
  Model of Semantic Interactions
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong
Benjamin Sapp
James Philbin
107
249
0
21 Jun 2019
Learning Compressed Sentence Representations for On-Device Text
  Processing
Learning Compressed Sentence Representations for On-Device Text Processing
Dinghan Shen
Pengyu Cheng
Dhanasekar Sundararaman
Xinyuan Zhang
Qian Yang
Meng Tang
Asli Celikyilmaz
Lawrence Carin
67
23
0
19 Jun 2019
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