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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
Compositional Coding Capsule Network with K-Means Routing for Text
  Classification
Compositional Coding Capsule Network with K-Means Routing for Text Classification
Hao Ren
Hong-wei Lu
104
53
0
22 Oct 2018
Structured Content Preservation for Unsupervised Text Style Transfer
Structured Content Preservation for Unsupervised Text Style Transfer
Youzhi Tian
Zhiting Hu
Zhou Yu
93
45
0
15 Oct 2018
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive
  Summarization
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
Eric Chu
Peter J. Liu
81
19
0
12 Oct 2018
Predictive Uncertainty through Quantization
Predictive Uncertainty through Quantization
Bastiaan S. Veeling
Rianne van den Berg
Max Welling
UQCV
60
1
0
12 Oct 2018
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Runjing Liu
Jeffrey Regier
Nilesh Tripuraneni
Michael I. Jordan
Jon D. McAuliffe
92
32
0
10 Oct 2018
Feature Selection using Stochastic Gates
Feature Selection using Stochastic Gates
Yutaro Yamada
Ofir Lindenbaum
S. Negahban
Y. Kluger
178
42
0
09 Oct 2018
Design by adaptive sampling
Design by adaptive sampling
David H. Brookes
Jennifer Listgarten
TPM
122
66
0
08 Oct 2018
A Comprehensive Survey of Deep Learning for Image Captioning
A Comprehensive Survey of Deep Learning for Image Captioning
Md Zakir Hossain
Ferdous Sohel
M. Shiratuddin
Hamid Laga
VLM3DV
202
781
0
06 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
74
761
0
05 Oct 2018
Differentiable Antithetic Sampling for Variance Reduction in Stochastic
  Variational Inference
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference
Mike Wu
Noah D. Goodman
Stefano Ermon
BDLDRL
85
13
0
05 Oct 2018
Relaxed Quantization for Discretized Neural Networks
Relaxed Quantization for Discretized Neural Networks
Christos Louizos
M. Reisser
Tijmen Blankevoort
E. Gavves
Max Welling
MQ
103
132
0
03 Oct 2018
Phasebook and Friends: Leveraging Discrete Representations for Source
  Separation
Phasebook and Friends: Leveraging Discrete Representations for Source Separation
Jonathan Le Roux
Gordon Wichern
Shinji Watanabe
Andy M. Sarroff
J. Hershey
70
77
0
02 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented
  Demonstrations using Directed Information
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Arjun Sharma
Mohit Sharma
Nicholas Rhinehart
Kris Kitani
84
68
0
29 Sep 2018
Improved Gradient-Based Optimization Over Discrete Distributions
Improved Gradient-Based Optimization Over Discrete Distributions
Evgeny Andriyash
Arash Vahdat
W. Macready
74
9
0
29 Sep 2018
SALSA-TEXT : self attentive latent space based adversarial text
  generation
SALSA-TEXT : self attentive latent space based adversarial text generation
Jules Gagnon-Marchand
Hamed Sadeghi
Md. Akmal Haidar
Mehdi Rezagholizadeh
82
18
0
28 Sep 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue
  Generation
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
Hui Su
Xiaoyu Shen
Wenjie Li
Dietrich Klakow
106
30
0
27 Sep 2018
Tangent: Automatic differentiation using source-code transformation for
  dynamically typed array programming
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
B. V. Merrienboer
D. Moldovan
Alexander B. Wiltschko
63
31
0
25 Sep 2018
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity
  Modeling
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling
Judith Butepage
Hedvig Kjellström
Danica Kragic
86
8
0
24 Sep 2018
Learning Quickly to Plan Quickly Using Modular Meta-Learning
Learning Quickly to Plan Quickly Using Modular Meta-Learning
Rohan Chitnis
L. Kaelbling
Tomás Lozano-Pérez
76
26
0
20 Sep 2018
Interpretable Textual Neuron Representations for NLP
Interpretable Textual Neuron Representations for NLP
Nina Poerner
Benjamin Roth
Hinrich Schütze
FAttAI4CEMILM
60
27
0
19 Sep 2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric
  State-Space Model for Multi-modal Dynamics
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics
Young-Jin Park
Han-Lim Choi
32
0
0
19 Sep 2018
Detect, anticipate and generate: Semi-supervised recurrent latent
  variable models for human activity modeling
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling
Judith Butepage
Danica Kragic
DRL
29
0
0
19 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational
  Inference
Discretely Relaxing Continuous Variables for tractable Variational Inference
Trefor W. Evans
P. Nair
BDL
57
0
0
12 Sep 2018
Probabilistic Binary Neural Networks
Probabilistic Binary Neural Networks
Jorn W. T. Peters
Max Welling
BDLUQCVMQ
80
52
0
10 Sep 2018
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive
  Trackers
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
Zhen He
Jian Li
Daxue Liu
Hangen He
David Barber
VOT
77
54
0
10 Sep 2018
Are You Sure You Want To Do That? Classification with Verification
Are You Sure You Want To Do That? Classification with Verification
Harris Chan
Atef Chaudhury
Kevin Shen
29
0
0
07 Sep 2018
Sample-Efficient Imitation Learning via Generative Adversarial Nets
Sample-Efficient Imitation Learning via Generative Adversarial Nets
Lionel Blondé
Alexandros Kalousis
GAN
67
47
0
06 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
AAMLSILM
98
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
147
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
80
42
0
29 Aug 2018
Deriving Machine Attention from Human Rationales
Deriving Machine Attention from Human Rationales
Yujia Bao
Shiyu Chang
Mo Yu
Regina Barzilay
43
107
0
28 Aug 2018
Scalable Population Synthesis with Deep Generative Modeling
Scalable Population Synthesis with Deep Generative Modeling
S. Borysov
Jeppe Rich
Francisco Câmara Pereira
41
58
0
21 Aug 2018
Discrete Structural Planning for Neural Machine Translation
Discrete Structural Planning for Neural Machine Translation
Raphael Shu
Hideki Nakayama
44
2
0
14 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
112
16
0
05 Aug 2018
Learning Visual Question Answering by Bootstrapping Hard Attention
Learning Visual Question Answering by Bootstrapping Hard Attention
Mateusz Malinowski
Carl Doersch
Adam Santoro
Peter W. Battaglia
OOD
92
96
0
01 Aug 2018
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin
Mingyuan Zhou
MQ
139
11
0
30 Jul 2018
Multi-Agent Generative Adversarial Imitation Learning
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
GAN
65
224
0
26 Jul 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a
  Structured Variational Autoencoder
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Caio Corro
Ivan Titov
BDL
58
56
0
25 Jul 2018
Backprop-Q: Generalized Backpropagation for Stochastic Computation
  Graphs
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs
Xiaoran Xu
Songpeng Zu
Yuan Zhang
Hanning Zhou
Wei Feng
BDL
63
4
0
25 Jul 2018
Learning Plannable Representations with Causal InfoGAN
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GANDRL
82
181
0
24 Jul 2018
Explaining Image Classifiers by Counterfactual Generation
Explaining Image Classifiers by Counterfactual Generation
C. Chang
Elliot Creager
Anna Goldenberg
David Duvenaud
VLM
85
267
0
20 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
63
52
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
57
45
0
17 Jul 2018
Adversarially Learned Mixture Model
Adversarially Learned Mixture Model
Andrew Jesson
Cécile Low-Kam
Tanya Nair
F. Soudan
Florent Chandelier
Nicolas Chapados
27
2
0
14 Jul 2018
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Emma Pierson
Pang Wei Koh
Tatsunori Hashimoto
D. Koller
J. Leskovec
N. Eriksson
Percy Liang
77
10
0
12 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
BDLDRL
107
115
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
SSLCMLDRL
158
19
0
12 Jul 2018
Distributed Variational Representation Learning
Distributed Variational Representation Learning
Iñaki Estella Aguerri
Milad Sefidgaran
88
73
0
11 Jul 2018
Latent Alignment and Variational Attention
Latent Alignment and Variational Attention
Yuntian Deng
Yoon Kim
Justin T. Chiu
Demi Guo
Alexander M. Rush
BDL
68
111
0
10 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal
Pablo Martínez Olmos
Zoubin Ghahramani
Isabel Valera
67
353
0
10 Jul 2018
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