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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 / 1,130 papers shown
Title
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,805
0
24 Feb 2021
Learning to Drop Points for LiDAR Scan Synthesis
Learning to Drop Points for LiDAR Scan Synthesis
Kazuto Nakashima
Ryo Kurazume
3DPC
19
26
0
23 Feb 2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine
  Translation
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
Julia Ive
A. Li
Yishu Miao
Ozan Caglayan
Pranava Madhyastha
Lucia Specia
29
10
0
22 Feb 2021
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for
  Reading Task Identification
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification
Puneet Mathur
Trisha Mittal
Tianyi Zhou
27
12
0
21 Feb 2021
End-to-end learnable EEG channel selection for deep neural networks with
  Gumbel-softmax
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax
Thomas Strypsteen
Alexander Bertrand
33
50
0
11 Feb 2021
Inductive Granger Causal Modeling for Multivariate Time Series
Inductive Granger Causal Modeling for Multivariate Time Series
Yunfei Chu
Xiaowei Wang
Jianxin Ma
Kunyang Jia
Jingren Zhou
Hongxia Yang
CML
AI4TS
21
11
0
10 Feb 2021
RpBERT: A Text-image Relation Propagation-based BERT Model for
  Multimodal NER
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER
Lin Sun
Jiquan Wang
Kai Zhang
Yindu Su
Fangsheng Weng
22
133
0
05 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
185
188
0
01 Feb 2021
Explanation as a Defense of Recommendation
Explanation as a Defense of Recommendation
Aobo Yang
Nan Wang
Hongbo Deng
Hongning Wang
AAML
20
23
0
24 Jan 2021
Disentangled Sequence Clustering for Human Intention Inference
Disentangled Sequence Clustering for Human Intention Inference
Mark Zolotas
Y. Demiris
DRL
24
5
0
23 Jan 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
Kaoutar El Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
34
98
0
22 Jan 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Ying Nie
Kai Han
Zhenhua Liu
Chunjing Xu
Yunhe Wang
OOD
42
22
0
21 Jan 2021
Learning over Families of Sets -- Hypergraph Representation Learning for
  Higher Order Tasks
Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks
Balasubramaniam Srinivasan
Da Zheng
George Karypis
GNN
27
21
0
19 Jan 2021
UniSpeech: Unified Speech Representation Learning with Labeled and
  Unlabeled Data
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
Chengyi Wang
Yu-Huan Wu
Yao Qian
K. Kumatani
Shujie Liu
Furu Wei
Michael Zeng
Xuedong Huang
OT
SSL
38
112
0
19 Jan 2021
Disentangled Recurrent Wasserstein Autoencoder
Disentangled Recurrent Wasserstein Autoencoder
Jun Han
Martin Renqiang Min
Ligong Han
Erran L. Li
Xuan Zhang
CoGe
SyDa
DRL
29
33
0
19 Jan 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
108
229
0
18 Jan 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive
  Strategies in Good-faith Textual Requests
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests
Jiaao Chen
Diyi Yang
18
20
0
16 Jan 2021
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
Jonas Pfeiffer
Ivan Vulić
Iryna Gurevych
Sebastian Ruder
24
128
0
31 Dec 2020
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Ahmad Rashid
Vasileios Lioutas
Abbas Ghaddar
Mehdi Rezagholizadeh
21
27
0
31 Dec 2020
Neural Text Generation with Artificial Negative Examples
Neural Text Generation with Artificial Negative Examples
Keisuke Shirai
Kazuma Hashimoto
Akiko Eriguchi
Takashi Ninomiya
Shinsuke Mori
13
7
0
28 Dec 2020
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
Jiangjie Chen
Qiaoben Bao
Changzhi Sun
Xinbo Zhang
Jiaze Chen
Hao Zhou
Yanghua Xiao
Lei Li
LRM
53
31
0
25 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
22
4
0
24 Dec 2020
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised
  Video Object Segmentation
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
Hyojin Park
Jayeon Yoo
Seohyeong Jeong
Ganesh Venkatesh
Nojun Kwak
VOS
31
36
0
21 Dec 2020
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
64
2,837
0
17 Dec 2020
Exploiting Learnable Joint Groups for Hand Pose Estimation
Exploiting Learnable Joint Groups for Hand Pose Estimation
Moran Li
Yuan Gao
Nong Sang
3DH
36
35
0
17 Dec 2020
Unsupervised Learning of Discourse Structures using a Tree Autoencoder
Unsupervised Learning of Discourse Structures using a Tree Autoencoder
Patrick Huber
Giuseppe Carenini
32
4
0
17 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations
Planning from Pixels in Atari with Learned Symbolic Representations
Andrea Dittadi
Frederik K. Drachmann
Thomas Bolander
26
11
0
16 Dec 2020
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian
  Learning
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
37
17
0
15 Dec 2020
Writing Polishment with Simile: Task, Dataset and A Neural Approach
Writing Polishment with Simile: Task, Dataset and A Neural Approach
Jiayi Zhang
Zhi Cui
Xiaoqiang Xia
Yalong Guo
Yanran Li
Chen Wei
Jianwei Cui
20
17
0
15 Dec 2020
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
13
386
0
14 Dec 2020
Molecular graph generation with Graph Neural Networks
Molecular graph generation with Graph Neural Networks
P. Bongini
Monica Bianchini
F. Scarselli
GNN
30
137
0
14 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text
  Generation
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Seanie Lee
Dong Bok Lee
Sung Ju Hwang
27
106
0
14 Dec 2020
Intrinsically Motivated Compositional Language Emergence
Intrinsically Motivated Compositional Language Emergence
Rishi Hazra
Sonu Dixit
Sayambhu Sen
11
1
0
09 Dec 2020
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable
  Exposure Times
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
Omer Dahary
M. Jacoby
A. Bronstein
19
5
0
08 Dec 2020
DE-RRD: A Knowledge Distillation Framework for Recommender System
DE-RRD: A Knowledge Distillation Framework for Recommender System
SeongKu Kang
Junyoung Hwang
Wonbin Kweon
Hwanjo Yu
29
79
0
08 Dec 2020
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary
  Gates and $L_0$ Regularization
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and L0L_0L0​ Regularization
Yaniv Shulman
46
3
0
07 Dec 2020
Inductive Bias and Language Expressivity in Emergent Communication
Inductive Bias and Language Expressivity in Emergent Communication
Shangmin Guo
Yi Ren
A. Slowik
K. Mathewson
25
8
0
04 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
Takumi Kimura
Takashi Matsubara
K. Uehara
3DPC
31
8
0
04 Dec 2020
Dynamic Feature Pyramid Networks for Object Detection
Dynamic Feature Pyramid Networks for Object Detection
Mingjian Zhu
Kai Han
Changbin (Brad) Yu
Yunhe Wang
ObjD
27
21
0
01 Dec 2020
Latent Template Induction with Gumbel-CRFs
Latent Template Induction with Gumbel-CRFs
Yao Fu
Chuanqi Tan
Bin Bi
Mosha Chen
Yansong Feng
Alexander M. Rush
BDL
13
12
0
29 Nov 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary
  Latents
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
E. Guiraud
Jakob Drefs
Jörg Lücke
DRL
40
3
0
27 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
A. Glushkovsky
DRL
19
6
0
24 Nov 2020
Multi-Features Guidance Network for partial-to-partial point cloud
  registration
Multi-Features Guidance Network for partial-to-partial point cloud registration
Hongyuan Wang
Xiang Liu
Wen Kang
Zhiqiang Yan
Bingwen Wang
Qianhao Ning
3DPC
14
19
0
24 Nov 2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time
  Segmentation
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
Thomas Verelst
Tinne Tuytelaars
SSeg
10
16
0
24 Nov 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic
  RNNs
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang
Carolin (Haas) Lawrence
Mathias Niepert
UQCV
29
10
0
24 Nov 2020
FP-NAS: Fast Probabilistic Neural Architecture Search
FP-NAS: Fast Probabilistic Neural Architecture Search
Zhicheng Yan
Xiaoliang Dai
Peizhao Zhang
Yuandong Tian
Bichen Wu
Matt Feiszli
19
23
0
22 Nov 2020
BARS: Joint Search of Cell Topology and Layout for Accurate and
  Efficient Binary ARchitectures
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
Tianchen Zhao
Xuefei Ning
Xiangsheng Shi
Songyi Yang
Shuang Liang
Peng Lei
Jianfei Chen
Huazhong Yang
Yu Wang
MQ
26
7
0
21 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO
  Approximations
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
H. Feng
Kezhi Kong
Minghao Chen
Tianye Zhang
Minfeng Zhu
Wei Chen
VLM
DRL
42
24
0
21 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
16
258
0
13 Nov 2020
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