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The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
v1v2v3 (latest)

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016
Chris J. Maddison
A. Mnih
Yee Whye Teh
    BDL
ArXiv (abs)PDFHTML

Papers citing "The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"

50 / 1,581 papers shown
Gaussian mixture models with Wasserstein distance
Gaussian mixture models with Wasserstein distance
Benoit Gaujac
Ilya Feige
David Barber
117
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12 Jun 2018
Towards Binary-Valued Gates for Robust LSTM Training
Towards Binary-Valued Gates for Robust LSTM Training
Zhuohan Li
Di He
Fei Tian
Wei-neng Chen
Tao Qin
Liwei Wang
Tie-Yan Liu
MQ
144
49
0
08 Jun 2018
Pathwise Derivatives for Multivariate Distributions
Pathwise Derivatives for Multivariate Distributions
M. Jankowiak
Theofanis Karaletsos
217
12
0
05 Jun 2018
Reparameterization Gradient for Non-differentiable Models
Reparameterization Gradient for Non-differentiable Models
Wonyeol Lee
Hangyeol Yu
Hongseok Yang
DRL
321
36
0
01 Jun 2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for
  Discrete Data
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Sai Li
AAMLSILM
177
120
0
31 May 2018
Conformation Clustering of Long MD Protein Dynamics with an Adversarial
  Autoencoder
Conformation Clustering of Long MD Protein Dynamics with an Adversarial Autoencoder
Yunlong Liu
L. Amzel
34
2
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
GNNGAN
509
1,022
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
214
97
0
28 May 2018
Discrete flow posteriors for variational inference in discrete dynamical
  systems
Discrete flow posteriors for variational inference in discrete dynamical systems
Laurence Aitchison
Vincent Adam
Srinivas C. Turaga
BDLDRL
155
4
0
28 May 2018
Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout
Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout
Juho Lee
Saehoon Kim
Jaehong Yoon
Haebeom Lee
Eunho Yang
Sung Ju Hwang
158
12
0
28 May 2018
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
T. Le
Adam R. Kosiorek
N. Siddharth
Yee Whye Teh
Frank Wood
BDL
208
23
0
26 May 2018
Maximizing acquisition functions for Bayesian optimization
Maximizing acquisition functions for Bayesian optimization
James T. Wilson
Katharina Eggensperger
M. Deisenroth
272
283
0
25 May 2018
Fairness GAN
Fairness GAN
P. Sattigeri
Samuel C. Hoffman
Vijil Chenthamarakshan
Kush R. Varshney
193
92
0
24 May 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo
Haebeom Lee
Saehoon Kim
Juho Lee
Kwang Joon Kim
Eunho Yang
Sung Ju Hwang
OOD
170
92
0
24 May 2018
Implicit Reparameterization Gradients
Implicit Reparameterization Gradients
Michael Figurnov
S. Mohamed
A. Mnih
BDL
555
247
0
22 May 2018
Learning Graph-Level Representations with Recurrent Neural Networks
Learning Graph-Level Representations with Recurrent Neural Networks
Yu Jin
Joseph Jaja
GNNSSL
192
13
0
20 May 2018
Nonparametric Bayesian Deep Networks with Local Competition
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDL
182
32
0
19 May 2018
Learning to Repair Software Vulnerabilities with Generative Adversarial
  Networks
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Jacob A. Harer
Onur Ozdemir
Tomo Lazovich
Christopher P. Reale
Rebecca L. Russell
Louis Y. Kim
Peter Chin
GAN
229
79
0
18 May 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Arash Vahdat
Evgeny Andriyash
W. Macready
354
53
0
18 May 2018
GumBolt: Extending Gumbel trick to Boltzmann priors
GumBolt: Extending Gumbel trick to Boltzmann priors
Amir Khoshaman
Mohammad H. Amin
209
15
0
18 May 2018
Learning Permutations with Sinkhorn Policy Gradient
Learning Permutations with Sinkhorn Policy Gradient
Patrick Emami
Sanjay Ranka
158
60
0
18 May 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic
  Hashing
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
Dinghan Shen
Qinliang Su
Paidamoyo Chapfuwa
Wenlin Wang
Guoyin Wang
Lawrence Carin
Ricardo Henao
130
61
0
14 May 2018
AMR Parsing as Graph Prediction with Latent Alignment
AMR Parsing as Graph Prediction with Latent Alignment
Chunchuan Lyu
Ivan Titov
GNNBDL
222
133
0
14 May 2018
Adversarial Contrastive Estimation
Adversarial Contrastive Estimation
A. Bose
Huan Ling
Yanshuai Cao
153
59
0
09 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
181
41
0
07 May 2018
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
Shu Kong
Charless C. Fowlkes
261
40
0
03 May 2018
Generalising Cost-Optimal Particle Filtering
Generalising Cost-Optimal Particle Filtering
Andrew Warrington
Neil Dhir
37
1
0
02 May 2018
Neural Particle Smoothing for Sampling from Conditional Sequence Models
Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-cheng Lin
Jason Eisner
BDL
133
13
0
28 Apr 2018
Inducing and Embedding Senses with Scaled Gumbel Softmax
Inducing and Embedding Senses with Scaled Gumbel Softmax
Fenfei Guo
Mohit Iyyer
Jordan L. Boyd-Graber
176
0
0
22 Apr 2018
Unsupervised Discrete Sentence Representation Learning for Interpretable
  Neural Dialog Generation
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2018
Tiancheng Zhao
Kyusong Lee
M. Eskénazi
DRL
231
142
0
22 Apr 2018
Variational Composite Autoencoders
Variational Composite Autoencoders
Jiangchao Yao
Ivor Tsang
Ya Zhang
BDLDRL
81
0
0
12 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
OODCMLBDLDRL
301
175
0
06 Apr 2018
Variational Rejection Sampling
Variational Rejection Sampling
Aditya Grover
Ramki Gummadi
Miguel Lazaro-Gredilla
Dale Schuurmans
Stefano Ermon
BDL
189
35
0
05 Apr 2018
Convolutional Neural Networks Regularized by Correlated Noise
Convolutional Neural Networks Regularized by Correlated Noise
Shamak Dutta
B. Tripp
Graham W. Taylor
78
6
0
03 Apr 2018
Completely Unsupervised Phoneme Recognition by Adversarially Learning
  Mapping Relationships from Audio Embeddings
Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings
Da-Rong Liu
Kuan-Yu Chen
Hung-yi Lee
Lin-Shan Lee
SSL
204
50
0
01 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
474
265
0
31 Mar 2018
Unbiased scalable softmax optimization
Unbiased scalable softmax optimization
Francois Fagan
G. Iyengar
103
13
0
22 Mar 2018
Neural Lattice Language Models
Neural Lattice Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2018
Jacob Buckman
Graham Neubig
140
30
0
13 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Structural Agnostic Modeling: Adversarial Learning of Causal GraphsJournal of machine learning research (JMLR), 2018
Diviyan Kalainathan
Olivier Goudet
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
CML
330
110
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
279
209
0
12 Mar 2018
Fast Decoding in Sequence Models using Discrete Latent Variables
Fast Decoding in Sequence Models using Discrete Latent Variables
Łukasz Kaiser
Aurko Roy
Ashish Vaswani
Niki Parmar
Samy Bengio
Jakob Uszkoreit
Noam M. Shazeer
537
246
0
09 Mar 2018
Blind Channel Equalization using Variational Autoencoders
Blind Channel Equalization using Variational Autoencoders
Avi Caciularu
D. Burshtein
129
69
0
05 Mar 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement LearningInternational Conference on Machine Learning (ICML), 2018
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
265
221
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
258
302
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
Sai Li
MLTFAtt
385
628
0
21 Feb 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
1.3K
1,454
0
16 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
206
79
0
14 Feb 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State
  Tabulation
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
Dane S. Corneil
W. Gerstner
Johanni Brea
OffRL
168
63
0
12 Feb 2018
Neural Network Renormalization Group
Neural Network Renormalization Group
Shuo-Hui Li
Lei Wang
BDLDRL
219
137
0
08 Feb 2018
Generating Triples with Adversarial Networks for Scene Graph
  Construction
Generating Triples with Adversarial Networks for Scene Graph Construction
James Fairbanks
Eric Heim
GANGNN
133
23
0
07 Feb 2018
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