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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
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
116
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
78
64
0
17 Nov 2017
Predict Responsibly: Improving Fairness and Accuracy by Learning to
  Defer
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
David Madras
T. Pitassi
R. Zemel
FaML
210
221
0
17 Nov 2017
Language-Based Image Editing with Recurrent Attentive Models
Language-Based Image Editing with Recurrent Attentive Models
Jianbo Chen
Yelong Shen
Jianfeng Gao
Jingjing Liu
Xiaodong Liu
99
122
0
16 Nov 2017
An Iterative Closest Points Approach to Neural Generative Models
An Iterative Closest Points Approach to Neural Generative Models
Joose Rajamäki
Perttu Hämäläinen
3DPC
22
1
0
16 Nov 2017
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
238
698
0
15 Nov 2017
ACtuAL: Actor-Critic Under Adversarial Learning
ACtuAL: Actor-Critic Under Adversarial Learning
Anirudh Goyal
Nan Rosemary Ke
Alex Lamb
R. Devon Hjelm
C. Pal
Joelle Pineau
Yoshua Bengio
GAN
49
9
0
13 Nov 2017
Learning K-way D-dimensional Discrete Code For Compact Embedding
  Representations
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
Ting Chen
Martin Renqiang Min
Yizhou Sun
71
10
0
08 Nov 2017
Neural Speed Reading via Skim-RNN
Neural Speed Reading via Skim-RNN
Minjoon Seo
Sewon Min
Ali Farhadi
Hannaneh Hajishirzi
92
79
0
06 Nov 2017
$A^{4}NT$: Author Attribute Anonymity by Adversarial Training of Neural
  Machine Translation
A4NTA^{4}NTA4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
Rakshith Shetty
Bernt Schiele
Mario Fritz
92
96
0
06 Nov 2017
Compressing Word Embeddings via Deep Compositional Code Learning
Compressing Word Embeddings via Deep Compositional Code Learning
Raphael Shu
Hideki Nakayama
97
129
0
03 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
259
5,093
0
02 Nov 2017
Interpretable and Pedagogical Examples
Interpretable and Pedagogical Examples
S. Milli
Pieter Abbeel
Igor Mordatch
50
14
0
02 Nov 2017
Deep Learning from Noisy Image Labels with Quality Embedding
Deep Learning from Noisy Image Labels with Quality Embedding
Jiangchao Yao
Jiajie Wang
Ivor Tsang
Ya Zhang
Jun-wei Sun
Chengqi Zhang
Rui Zhang
NoLa
100
121
0
02 Nov 2017
Backpropagation through the Void: Optimizing control variates for
  black-box gradient estimation
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl
Dami Choi
Yuhuai Wu
Geoffrey Roeder
David Duvenaud
163
300
0
31 Oct 2017
Meta Learning Shared Hierarchies
Meta Learning Shared Hierarchies
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
84
355
0
26 Oct 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation
  Inference
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott W. Linderman
Gonzalo E. Mena
H. Cooper
Liam Paninski
John P. Cunningham
77
51
0
26 Oct 2017
Multimodal Probabilistic Model-Based Planning for Human-Robot
  Interaction
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
95
174
0
25 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick
Learning Discrete Weights Using the Local Reparameterization Trick
Oran Shayer
Dan Levi
Ethan Fetaya
83
88
0
21 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised
  Learning
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro
Simon Kamronn
Ulrich Paquet
Ole Winther
BDL
120
287
0
16 Oct 2017
Emergent Translation in Multi-Agent Communication
Emergent Translation in Multi-Agent Communication
Jason D. Lee
Kyunghyun Cho
Jason Weston
Douwe Kiela
140
68
0
12 Oct 2017
Variational Memory Addressing in Generative Models
Variational Memory Addressing in Generative Models
J. Bornschein
A. Mnih
Daniel Zoran
Danilo Jimenez Rezende
BDL
89
63
0
21 Sep 2017
ZhuSuan: A Library for Bayesian Deep Learning
ZhuSuan: A Library for Bayesian Deep Learning
Jiaxin Shi
Jianfei Chen
Jun Zhu
Shengyang Sun
Yucen Luo
Yihong Gu
Yuhao Zhou
UQCVBDL
87
43
0
18 Sep 2017
Do latent tree learning models identify meaningful structure in
  sentences?
Do latent tree learning models identify meaningful structure in sentences?
Adina Williams
Andrew Drozdov
Samuel R. Bowman
76
22
0
04 Sep 2017
End-to-end Learning for Short Text Expansion
End-to-end Learning for Short Text Expansion
Jian Tang
Yue Wang
Kai Zheng
Qiaozhu Mei
LLMAG
81
19
0
30 Aug 2017
Hierarchical Multi-scale Attention Networks for Action Recognition
Hierarchical Multi-scale Attention Networks for Action Recognition
Shiyang Yan
Jeremy S. Smith
Wenjin Lu
Bailing Zhang
91
37
0
25 Aug 2017
A learning framework for winner-take-all networks with stochastic
  synapses
A learning framework for winner-take-all networks with stochastic synapses
Hesham Mostafa
Gert Cauwenberghs
BDL
58
14
0
14 Aug 2017
A Continuous Relaxation of Beam Search for End-to-end Training of Neural
  Sequence Models
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Kartik Goyal
Graham Neubig
Chris Dyer
Taylor Berg-Kirkpatrick
3DV
122
40
0
01 Aug 2017
Learning to Compose Task-Specific Tree Structures
Learning to Compose Task-Specific Tree Structures
Jihun Choi
Kang Min Yoo
Sang-goo Lee
100
189
0
10 Jul 2017
Bayesian Semisupervised Learning with Deep Generative Models
Bayesian Semisupervised Learning with Deep Generative Models
Jonathan Gordon
José Miguel Hernández-Lobato
BDLUQCVGAN
75
27
0
29 Jun 2017
Neural Machine Translation with Gumbel-Greedy Decoding
Neural Machine Translation with Gumbel-Greedy Decoding
Jiatao Gu
Daniel Jiwoong Im
Victor O.K. Li
108
36
0
22 Jun 2017
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He
James Wei
Xinyun Chen
Nicholas Carlini
Basel Alomair
AAML
122
240
0
15 Jun 2017
Plan, Attend, Generate: Character-level Neural Machine Translation with
  Planning in the Decoder
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder
Çağlar Gülçehre
Francis Dutil
Adam Trischler
Yoshua Bengio
48
7
0
13 Jun 2017
Adversarially Regularized Autoencoders
Adversarially Regularized Autoencoders
Jiaqi Zhao
Yoon Kim
Kelly Zhang
Alexander M. Rush
Yann LeCun
DRLGNNGAN
81
78
0
13 Jun 2017
Adversarial Feature Matching for Text Generation
Adversarial Feature Matching for Text Generation
Yizhe Zhang
Zhe Gan
Kai Fan
Zhi Chen
Ricardo Henao
Dinghan Shen
Lawrence Carin
GAN
102
334
0
12 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
225
4,542
0
07 Jun 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning
  to a Generative Visual Dialog Model
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu
A. Kannan
Jianwei Yang
Devi Parikh
Dhruv Batra
BDL
109
137
0
05 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep
  Generative Models
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth Narayanaswamy
Brooks Paige
Jan-Willem van de Meent
Alban Desmaison
Noah D. Goodman
Pushmeet Kohli
Frank Wood
Philip Torr
DRLCoGe
203
363
0
01 Jun 2017
Emergence of Language with Multi-agent Games: Learning to Communicate
  with Sequences of Symbols
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Serhii Havrylov
Ivan Titov
LLMAG
103
288
0
31 May 2017
Adversarial Generation of Natural Language
Adversarial Generation of Natural Language
Sai Rajeswar
Sandeep Subramanian
Francis Dutil
C. Pal
Aaron Courville
GAN
79
205
0
31 May 2017
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDLCLL
152
120
0
27 May 2017
Style Transfer from Non-Parallel Text by Cross-Alignment
Style Transfer from Non-Parallel Text by Cross-Alignment
T. Shen
Tao Lei
Regina Barzilay
Tommi Jaakkola
131
776
0
26 May 2017
Jointly Learning Sentence Embeddings and Syntax with Unsupervised
  Tree-LSTMs
Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs
Jean Maillard
S. Clark
Dani Yogatama
82
89
0
25 May 2017
Stochastic Sequential Neural Networks with Structured Inference
Stochastic Sequential Neural Networks with Structured Inference
Hao Liu
Haoli Bai
Lirong He
Zenglin Xu
BDL
51
3
0
24 May 2017
Black-Box Attacks against RNN based Malware Detection Algorithms
Black-Box Attacks against RNN based Malware Detection Algorithms
Weiwei Hu
Ying Tan
66
150
0
23 May 2017
Concrete Dropout
Concrete Dropout
Y. Gal
Jiri Hron
Alex Kendall
BDLUQCV
223
593
0
22 May 2017
A Regularized Framework for Sparse and Structured Neural Attention
A Regularized Framework for Sparse and Structured Neural Attention
Vlad Niculae
Mathieu Blondel
94
100
0
22 May 2017
Model-Based Planning with Discrete and Continuous Actions
Model-Based Planning with Discrete and Continuous Actions
Mikael Henaff
William F. Whitney
Yann LeCun
88
16
0
19 May 2017
Learning to segment with image-level supervision
Learning to segment with image-level supervision
Gaurav Pandey
Ambedkar Dukkipati
SSegVLM
22
0
0
03 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement
  Learning
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
Thomas M. Moerland
Joost Broekens
Catholijn M. Jonker
OffRL
98
31
0
01 May 2017
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