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Categorical Reparameterization with Gumbel-Softmax

Categorical Reparameterization with Gumbel-Softmax

3 November 2016
Eric Jang
S. Gu
Ben Poole
    BDL
ArXivPDFHTML

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 1,132 papers shown
Title
Probabilistic Binary Neural Networks
Probabilistic Binary Neural Networks
Jorn W. T. Peters
Max Welling
BDL
UQCV
MQ
25
51
0
10 Sep 2018
Adversarial Reprogramming of Text Classification Neural Networks
Adversarial Reprogramming of Text Classification Neural Networks
Paarth Neekhara
Shehzeen Samarah Hussain
Shlomo Dubnov
F. Koushanfar
AAML
SILM
29
9
0
06 Sep 2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text
  Generation
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
Zhiting Hu
Haoran Shi
Bowen Tan
Wentao Wang
Zichao Yang
...
Zhengzhong Liu
Xiaodan Liang
Wangrong Zhu
Devendra Singh Sachan
Eric Xing
VLM
22
56
0
04 Sep 2018
On Tree-Based Neural Sentence Modeling
On Tree-Based Neural Sentence Modeling
Freda Shi
Hao Zhou
Jiaze Chen
Lei Li
AI4CE
32
42
0
29 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
31
16
0
05 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
GAN
27
216
0
26 Jul 2018
Airline Passenger Name Record Generation using Generative Adversarial
  Networks
Airline Passenger Name Record Generation using Generative Adversarial Networks
Alejandro Mottini
Alix Lhéritier
Rodrigo Acuna-Agost
GAN
23
51
0
17 Jul 2018
Item Recommendation with Variational Autoencoders and Heterogenous
  Priors
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis Karamanolakis
Kevin Raji Cherian
A. Narayan
Jie Yuan
Da Tang
Tony Jebara
DRL
16
45
0
17 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDL
DRL
39
116
0
12 Jul 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image
  Retrieval
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu
M. Flierl
SSL
CML
DRL
32
19
0
12 Jul 2018
Distributed Variational Representation Learning
Distributed Variational Representation Learning
Iñaki Estella Aguerri
Milad Sefidgaran
23
71
0
11 Jul 2018
New Losses for Generative Adversarial Learning
Victor Berger
Michèle Sebag
GAN
22
0
0
03 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks
Stochastic Layer-Wise Precision in Deep Neural Networks
Griffin Lacey
Graham W. Taylor
S. Areibi
29
18
0
03 Jul 2018
Hierarchical VampPrior Variational Fair Auto-Encoder
Hierarchical VampPrior Variational Fair Auto-Encoder
P. Botros
Jakub M. Tomczak
DRL
15
7
0
26 Jun 2018
On Accurate Evaluation of GANs for Language Generation
On Accurate Evaluation of GANs for Language Generation
Stanislau Semeniuta
Aliaksei Severyn
Sylvain Gelly
EGVM
39
81
0
13 Jun 2018
Reparameterization Gradient for Non-differentiable Models
Reparameterization Gradient for Non-differentiable Models
Wonyeol Lee
Hangyeol Yu
Hongseok Yang
DRL
25
30
0
01 Jun 2018
Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech
Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech
Aditya Deshpande
J. Aneja
Liwei Wang
Alex Schwing
David A. Forsyth
27
146
0
31 May 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNN
GAN
35
907
0
30 May 2018
Theory and Experiments on Vector Quantized Autoencoders
Theory and Experiments on Vector Quantized Autoencoders
Aurko Roy
Ashish Vaswani
Arvind Neelakantan
Niki Parmar
19
85
0
28 May 2018
Maximizing acquisition functions for Bayesian optimization
Maximizing acquisition functions for Bayesian optimization
James T. Wilson
Frank Hutter
M. Deisenroth
46
240
0
25 May 2018
Fairness GAN
Fairness GAN
P. Sattigeri
Samuel C. Hoffman
Vijil Chenthamarakshan
Kush R. Varshney
18
93
0
24 May 2018
AMR Parsing as Graph Prediction with Latent Alignment
AMR Parsing as Graph Prediction with Latent Alignment
Chunchuan Lyu
Ivan Titov
GNN
BDL
19
127
0
14 May 2018
MEGAN: Mixture of Experts of Generative Adversarial Networks for
  Multimodal Image Generation
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
D. Park
Seungjoo Yoo
Hyojin Bahng
Jaegul Choo
Noseong Park
GAN
22
24
0
07 May 2018
Sharp Attention Network via Adaptive Sampling for Person
  Re-identification
Sharp Attention Network via Adaptive Sampling for Person Re-identification
Chen Shen
Guo-Jun Qi
Rongxin Jiang
Zhongming Jin
Hongwei Yong
Yao-wu Chen
Xiansheng Hua
27
38
0
07 May 2018
Adversarial Semantic Alignment for Improved Image Captions
Adversarial Semantic Alignment for Improved Image Captions
Pierre Dognin
Igor Melnyk
Youssef Mroueh
Jerret Ross
Tom Sercu
25
16
0
30 Apr 2018
Estimate and Replace: A Novel Approach to Integrating Deep Neural
  Networks with Existing Applications
Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications
Guy Hadash
Einat Kermany
Boaz Carmeli
Ofer Lavi
George Kour
Alon Jacovi
AI4TS
27
42
0
24 Apr 2018
Unsupervised Discrete Sentence Representation Learning for Interpretable
  Neural Dialog Generation
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
Tiancheng Zhao
Kyusong Lee
M. Eskénazi
DRL
24
141
0
22 Apr 2018
ListOps: A Diagnostic Dataset for Latent Tree Learning
ListOps: A Diagnostic Dataset for Latent Tree Learning
Nikita Nangia
Samuel R. Bowman
16
135
0
17 Apr 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OOD
CML
BDL
DRL
36
165
0
06 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
36
241
0
31 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
25
88
0
20 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan
Olivier Goudet
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
CML
26
93
0
13 Mar 2018
Discriminability objective for training descriptive captions
Discriminability objective for training descriptive captions
Ruotian Luo
Brian L. Price
Scott D. Cohen
Gregory Shakhnarovich
30
202
0
12 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
29
360
0
02 Mar 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
28
199
0
26 Feb 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena
David Belanger
Scott W. Linderman
Jasper Snoek
57
264
0
23 Feb 2018
Learning to Explain: An Information-Theoretic Perspective on Model
  Interpretation
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen
Le Song
Martin J. Wainwright
Michael I. Jordan
MLT
FAtt
44
561
0
21 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
37
75
0
14 Feb 2018
Neural Network Renormalization Group
Neural Network Renormalization Group
Shuo-Hui Li
Lei Wang
BDL
DRL
37
126
0
08 Feb 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDL
DRL
33
243
0
07 Feb 2018
Multi-Pointer Co-Attention Networks for Recommendation
Multi-Pointer Co-Attention Networks for Recommendation
Yi Tay
Anh Tuan Luu
S. Hui
3DV
29
287
0
28 Jan 2018
MaskGAN: Better Text Generation via Filling in the______
MaskGAN: Better Text Generation via Filling in the______
W. Fedus
Ian Goodfellow
Andrew M. Dai
24
468
0
23 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
3DV
62
338
0
07 Jan 2018
Learning to Forecast Videos of Human Activity with Multi-granularity
  Models and Adaptive Rendering
Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering
Mengyao Zhai
Jiacheng Chen
Ruizhi Deng
Lei Chen
Ligeng Zhu
Greg Mori
3DH
26
2
0
05 Dec 2017
Faithful Inversion of Generative Models for Effective Amortized
  Inference
Faithful Inversion of Generative Models for Effective Amortized Inference
Stefan Webb
Adam Goliñski
R. Zinkov
Siddharth Narayanaswamy
Tom Rainforth
Yee Whye Teh
Frank Wood
TPM
51
46
0
01 Dec 2017
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OOD
GNN
44
382
0
30 Nov 2017
TensorFlow Distributions
TensorFlow Distributions
Joshua V. Dillon
I. Langmore
Dustin Tran
E. Brevdo
Srinivas Vasudevan
David A. Moore
Brian Patton
Alexander A. Alemi
Matt Hoffman
Rif A. Saurous
GP
46
346
0
28 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
36
626
0
26 Nov 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder
  with an Additive Gaussian Encoding Space
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Liwei Wang
Alex Schwing
Svetlana Lazebnik
CoGe
37
175
0
19 Nov 2017
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
24
62
0
17 Nov 2017
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