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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
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image
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Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval
Aneeshan Sain
A. Bhunia
Yongxin Yang
Tao Xiang
Yi-Zhe Song
86
50
0
29 Jul 2020
Approximation Based Variance Reduction for Reparameterization Gradients
Approximation Based Variance Reduction for Reparameterization Gradients
Tomas Geffner
Justin Domke
BDLDRL
83
10
0
29 Jul 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Yuexiang Xie
Zhen Wang
Yaliang Li
Bolin Ding
Nezihe Merve Gürel
Ce Zhang
Minlie Huang
Wei Lin
Jingren Zhou
106
28
0
29 Jul 2020
Learning the Solution Manifold in Optimization and Its Application in
  Motion Planning
Learning the Solution Manifold in Optimization and Its Application in Motion Planning
Takayuki Osa
57
2
0
24 Jul 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
106
181
0
24 Jul 2020
Private Post-GAN Boosting
Private Post-GAN Boosting
Marcel Neunhoeffer
Zhiwei Steven Wu
Cynthia Dwork
199
29
0
23 Jul 2020
Learning Structured Latent Factors from Dependent Data:A Generative
  Model Framework from Information-Theoretic Perspective
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang Zhang
Masanori Koyama
Katsuhiko Ishiguro
CML
65
6
0
21 Jul 2020
Learning to Compose Hypercolumns for Visual Correspondence
Learning to Compose Hypercolumns for Visual Correspondence
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
OCL
80
79
0
21 Jul 2020
Learning latent representations across multiple data domains using
  Lifelong VAEGAN
Learning latent representations across multiple data domains using Lifelong VAEGAN
Fei Ye
A. Bors
SyDaCLL
68
67
0
20 Jul 2020
Mixture Representation Learning with Coupled Autoencoders
Mixture Representation Learning with Coupled Autoencoders
Yeganeh M. Marghi
Rohan Gala
U. Sümbül
BDL
31
0
0
20 Jul 2020
Towards Emergent Language Symbolic Semantic Segmentation and Model
  Interpretability
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
Alberto Santamaria-Pang
James R. Kubricht
Aritra Chowdhury
Chitresh Bhushan
Peter Tu
MedIm
62
13
0
18 Jul 2020
Learning to Discretely Compose Reasoning Module Networks for Video
  Captioning
Learning to Discretely Compose Reasoning Module Networks for Video Captioning
Ganchao Tan
Daqing Liu
Meng Wang
Zhengjun Zha
LRM
88
74
0
17 Jul 2020
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
Ricardo Ñanculef
Francisco Mena
A. Macaluso
Stefano Lodi
Claudio Sartori
SSL
23
5
0
17 Jul 2020
OccamNet: A Fast Neural Model for Symbolic Regression at Scale
OccamNet: A Fast Neural Model for Symbolic Regression at Scale
Owen Dugan
Rumen Dangovski
Allan dos Santos Costa
Samuel Kim
Pawan Goyal
J. Jacobson
M. Soljavcić
95
11
0
16 Jul 2020
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
Hung-Yu Tseng
Hsin-Ying Lee
Lu Jiang
Ming-Hsuan Yang
Weilong Yang
DiffM3DV
161
54
0
16 Jul 2020
GRADE: Graph Dynamic Embedding
GRADE: Graph Dynamic Embedding
Simeon E. Spasov
A. D. Stefano
Pietro Lio
Jian Tang
71
4
0
16 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs
Relaxed-Responsibility Hierarchical Discrete VAEs
M. Willetts
Xenia Miscouridou
Stephen J. Roberts
Chris Holmes
BDLDRL
99
5
0
14 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on
  Downstream Tasks
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
CMLDRL
110
26
0
14 Jul 2020
Learning Randomly Perturbed Structured Predictors for Direct Loss
  Minimization
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman
Tamir Hazan
53
8
0
11 Jul 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected
  Graphical Models
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh K. Jeewajee
L. Kaelbling
BDL
64
1
0
09 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDLCLL
76
37
0
09 Jul 2020
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Ofir Lindenbaum
Uri Shaham
Jonathan Svirsky
Erez Peterfreund
Y. Kluger
142
6
0
09 Jul 2020
Searching for Efficient Architecture for Instrument Segmentation in
  Robotic Surgery
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery
D. Pakhomov
Nassir Navab
36
15
0
08 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang
Bohyung Han
AAML
73
141
0
08 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
198
919
0
08 Jul 2020
Learning to learn generative programs with Memoised Wake-Sleep
Learning to learn generative programs with Memoised Wake-Sleep
Luke B. Hewitt
T. Le
J. Tenenbaum
CLL
75
27
0
06 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang
Henrik Marklund
Nikita Dhawan
Abhishek Gupta
Sergey Levine
Chelsea Finn
OOD
89
208
0
06 Jul 2020
Weight-dependent Gates for Network Pruning
Weight-dependent Gates for Network Pruning
Yun Li
Zechun Liu
Weiqun Wu
Haotian Yao
Xinming Zhang
Fangqiu Yi
B. Yin
85
14
0
04 Jul 2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Linjie Yang
Qing Jin
MQ
101
74
0
04 Jul 2020
Efficient Marginalization of Discrete and Structured Latent Variables
  via Sparsity
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
Gonçalo M. Correia
Vlad Niculae
Wilker Aziz
André F. T. Martins
BDL
162
23
0
03 Jul 2020
Differentiable Causal Discovery from Interventional Data
Differentiable Causal Discovery from Interventional Data
P. Brouillard
Sébastien Lachapelle
Alexandre Lacoste
Simon Lacoste-Julien
Alexandre Drouin
CML
112
191
0
03 Jul 2020
Generating Informative Dialogue Responses with Keywords-Guided Networks
Generating Informative Dialogue Responses with Keywords-Guided Networks
Heng-Da Xu
Xian-Ling Mao
Zewen Chi
Jing-Jing Zhu
Fanshu Sun
Heyan Huang
BDL
116
5
0
03 Jul 2020
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust
  Inference
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference
Andac Demir
T. Koike-Akino
Ye Wang
Deniz Erdogmus
36
0
0
02 Jul 2020
In-Distribution Interpretability for Challenging Modalities
In-Distribution Interpretability for Challenging Modalities
Cosmas Heiß
Ron Levie
Cinjon Resnick
Gitta Kutyniok
Joan Bruna
30
7
0
01 Jul 2020
Adversarial Example Games
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Simon Lacoste-Julien
William L. Hamilton
AAMLGAN
143
52
0
01 Jul 2020
Causal Discovery in Physical Systems from Videos
Causal Discovery in Physical Systems from Videos
Yunzhu Li
Antonio Torralba
Anima Anandkumar
Dieter Fox
Animesh Garg
CML
137
104
0
01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
85
22
0
01 Jul 2020
Semi-supervised Sequential Generative Models
Semi-supervised Sequential Generative Models
Michael Teng
T. Le
Adam Scibior
Frank Wood
BDLAI4TS
59
3
0
30 Jun 2020
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
Siqi Bao
H. He
Fan Wang
Hua Wu
Haifeng Wang
Wenquan Wu
Zhen Guo
Zhibin Liu
Xinchao Xu
92
138
0
30 Jun 2020
Object Files and Schemata: Factorizing Declarative and Procedural
  Knowledge in Dynamical Systems
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
Anirudh Goyal
Alex Lamb
Phanideep Gampa
Philippe Beaudoin
Sergey Levine
Charles Blundell
Yoshua Bengio
Michael C. Mozer
OCL
107
72
0
29 Jun 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for
  Improved Generalization
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Sang Michael Xie
Tengyu Ma
Percy Liang
143
15
0
29 Jun 2020
SoftSort: A Continuous Relaxation for the argsort Operator
SoftSort: A Continuous Relaxation for the argsort Operator
S. Prillo
Julian Martin Eisenschlos
ODL
85
68
0
29 Jun 2020
Reliable Categorical Variational Inference with Mixture of Discrete
  Normalizing Flows
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows
Tomasz Kuśmierczyk
Arto Klami
BDLDRL
29
0
0
28 Jun 2020
Intrinsic Reward Driven Imitation Learning via Generative Model
Intrinsic Reward Driven Imitation Learning via Generative Model
Xingrui Yu
Yueming Lyu
Ivor W. Tsang
54
55
0
26 Jun 2020
Neural Decomposition: Functional ANOVA with Variational Autoencoders
Neural Decomposition: Functional ANOVA with Variational Autoencoders
Kaspar Märtens
C. Yau
DRL
40
10
0
25 Jun 2020
Set Based Stochastic Subsampling
Set Based Stochastic Subsampling
Bruno Andreis
Seanie Lee
A. Nguyen
Juho Lee
Eunho Yang
Sung Ju Hwang
BDL
44
0
0
25 Jun 2020
Unsupervised Cross-lingual Representation Learning for Speech
  Recognition
Unsupervised Cross-lingual Representation Learning for Speech Recognition
Alexis Conneau
Alexei Baevski
R. Collobert
Abdel-rahman Mohamed
Michael Auli
SSL
175
782
0
24 Jun 2020
GIFnets: Differentiable GIF Encoding Framework
GIFnets: Differentiable GIF Encoding Framework
Innfarn Yoo
Xiyang Luo
Yilin Wang
Feng Yang
P. Milanfar
58
4
0
24 Jun 2020
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
Niels Bruun Ipsen
Pierre-Alexandre Mattei
J. Frellsen
DRL
70
57
0
23 Jun 2020
Fast and Flexible Temporal Point Processes with Triangular Maps
Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur
Nicholas Gao
Marin Bilovs
Stephan Günnemann
122
35
0
22 Jun 2020
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