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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 / 1,022 papers shown
Title
M$^3$CS: Multi-Target Masked Point Modeling with Learnable Codebook and
  Siamese Decoders
M3^33CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders
Qibo Qiu
Honghui Yang
Wenxiao Wang
Shun Zhang
Haiming Gao
Haochao Ying
Wei Hua
Xiaofei He
3DPC
36
0
0
23 Sep 2023
Autoregressive Sign Language Production: A Gloss-Free Approach with
  Discrete Representations
Autoregressive Sign Language Production: A Gloss-Free Approach with Discrete Representations
Eui Jun Hwang
Huije Lee
Jong C. Park
SLR
42
6
0
21 Sep 2023
Neural Image Compression Using Masked Sparse Visual Representation
Neural Image Compression Using Masked Sparse Visual Representation
Wei Jiang
Wei Wang
Yuewei Chen
18
7
0
20 Sep 2023
Differentiable Resolution Compression and Alignment for Efficient Video
  Classification and Retrieval
Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval
Rui Deng
Qian Wu
Yuke Li
Haoran Fu
26
2
0
15 Sep 2023
Unsupervised Chunking with Hierarchical RNN
Unsupervised Chunking with Hierarchical RNN
Zijun Wu
Anup Anand Deshmukh
Yongkang Wu
Jimmy Lin
Lili Mou
34
3
0
10 Sep 2023
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains
Katherine Morales
Y. Petetin
8
0
0
07 Sep 2023
Temporal Collection and Distribution for Referring Video Object
  Segmentation
Temporal Collection and Distribution for Referring Video Object Segmentation
Jiajin Tang
Ge Zheng
Sibei Yang
VOS
36
14
0
07 Sep 2023
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Quang-Duy Tran
Phuoc Nguyen
Bao Duong
Thin Nguyen
32
2
0
04 Sep 2023
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for
  Human Motion Prediction
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
Mohsen Zand
Ali Etemad
Michael A. Greenspan
3DH
17
2
0
31 Aug 2023
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
Nissim Maruani
Roman Klokov
M. Ovsjanikov
Pierre Alliez
Mathieu Desbrun
3DV
30
17
0
28 Aug 2023
Differentiable Weight Masks for Domain Transfer
Differentiable Weight Masks for Domain Transfer
Samarth Khanna
Skanda Vaidyanath
Akash Velu
34
0
0
26 Aug 2023
Single-User Injection for Invisible Shilling Attack against Recommender
  Systems
Single-User Injection for Invisible Shilling Attack against Recommender Systems
Chengzhi Huang
Hui Li
29
13
0
21 Aug 2023
Differentiable Retrieval Augmentation via Generative Language Modeling
  for E-commerce Query Intent Classification
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification
Chenyu Zhao
Yunjiang Jiang
Yiming Qiu
Han Zhang
Wen-Yun Yang
RALM
34
5
0
18 Aug 2023
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes
Zhaohui Li
Haitao Wang
Xinghua Jiang
40
1
0
14 Aug 2023
Learning nonparametric DAGs with incremental information via high-order
  HSIC
Learning nonparametric DAGs with incremental information via high-order HSIC
Yafei Wang
Jianguo Liu
CML
27
0
0
11 Aug 2023
DF2: Distribution-Free Decision-Focused Learning
DF2: Distribution-Free Decision-Focused Learning
Lingkai Kong
Wenhao Mu
Jiaming Cui
Yuchen Zhuang
B. Prakash
Bo Dai
Chao Zhang
OffRL
41
1
0
11 Aug 2023
RGMComm: Return Gap Minimization via Discrete Communications in
  Multi-Agent Reinforcement Learning
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
Jingdi Chen
Tian-Shing Lan
Carlee Joe-Wong
17
15
0
07 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness
LUCID-GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba
Carmen Mazijn
Carina E. A. Prunkl
J. Danckaert
Vincent Ginis
SyDa
42
1
0
28 Jul 2023
Incrementally-Computable Neural Networks: Efficient Inference for
  Dynamic Inputs
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs
Or Sharir
Anima Anandkumar
32
0
0
27 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
Nancy R. Xu
Chrysoula Kosma
Michalis Vazirgiannis
AI4TS
AI4CE
38
6
0
27 Jul 2023
Efficient Learning of Discrete-Continuous Computation Graphs
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede
Mathias Niepert
13
3
0
26 Jul 2023
PRIOR: Prototype Representation Joint Learning from Medical Images and
  Reports
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Pujin Cheng
Li Lin
Junyan Lyu
Yijin Huang
Wenhan Luo
Xiaoying Tang
MedIm
37
45
0
24 Jul 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
RADAR: Robust AI-Text Detection via Adversarial Learning
Xiaomeng Hu
Pin-Yu Chen
Tsung-Yi Ho
DeLMO
52
110
0
07 Jul 2023
Align With Purpose: Optimize Desired Properties in CTC Models with a
  General Plug-and-Play Framework
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
Eliya Segev
Maya Alroy
Ronen Katsir
Noam Wies
Ayana Shenhav
...
D. Zar
Oren Tadmor
Jacob Bitterman
Amnon Shashua
Tal Rosenwein
32
2
0
04 Jul 2023
Learning Discrete Weights and Activations Using the Local
  Reparameterization Trick
Learning Discrete Weights and Activations Using the Local Reparameterization Trick
G. Berger
Aviv Navon
Ethan Fetaya
MQ
22
0
0
04 Jul 2023
Some challenges of calibrating differentiable agent-based models
Some challenges of calibrating differentiable agent-based models
Arnau Quera-Bofarull
Joel Dyer
Anisoara Calinescu
Michael Wooldridge
AI4CE
37
7
0
03 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Hikaru Shindo
Viktor Pfanschilling
Devendra Singh Dhami
Kristian Kersting
NAI
32
6
0
03 Jul 2023
How can objects help action recognition?
How can objects help action recognition?
Xingyi Zhou
Anurag Arnab
Chen Sun
Cordelia Schmid
42
14
0
20 Jun 2023
Plausibility-Based Heuristics for Latent Space Classical Planning
Plausibility-Based Heuristics for Latent Space Classical Planning
Yuta Takata
A. Fukunaga
LRM
21
0
0
20 Jun 2023
Cooperative Multi-Agent Learning for Navigation via Structured State
  Abstraction
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
Mohamed K. Abdel-Aziz
Mohammed S. Elbamby
S. Samarakoon
M. Bennis
23
4
0
20 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
24
12
0
20 Jun 2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Kenta Oono
Nontawat Charoenphakdee
K. Bito
Zhengyan Gao
Yoshiaki Ota
...
Kohei Hayashi
Yuki Saito
Koki Tsuda
Hiroshi Maruyama
K. Hayashi
40
1
0
19 Jun 2023
Decongestion by Representation: Learning to Improve Economic Welfare in
  Marketplaces
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
Omer Nahum
Gali Noti
David C. Parkes
Nir Rosenfeld
18
2
0
18 Jun 2023
Probabilistic-based Feature Embedding of 4-D Light Fields for
  Compressive Imaging and Denoising
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
Xianqiang Lyu
Junhui Hou
41
3
0
15 Jun 2023
Annotation-Inspired Implicit Discourse Relation Classification with
  Auxiliary Discourse Connective Generation
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation
Wei Liu
Michael Strube
27
15
0
10 Jun 2023
Origin-Destination Network Generation via Gravity-Guided GAN
Origin-Destination Network Generation via Gravity-Guided GAN
Can Rong
Huandong Wang
Yong Li
22
5
0
06 Jun 2023
Learning to Substitute Spans towards Improving Compositional
  Generalization
Learning to Substitute Spans towards Improving Compositional Generalization
Zhaoyi Li
Ying Wei
Defu Lian
13
10
0
05 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown
  Interventions
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
18
56
0
01 Jun 2023
Scalable Learning of Latent Language Structure With Logical Offline
  Cycle Consistency
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
M. Crouse
Ramón Fernández Astudillo
Tahira Naseem
Subhajit Chaudhury
Pavan Kapanipathi
Salim Roukos
Alexander G. Gray
OffRL
22
0
0
31 May 2023
Neural Markov Jump Processes
Neural Markov Jump Processes
Patrick Seifner
Ramses J. Sanchez
BDL
35
7
0
31 May 2023
Graph-based Time Series Clustering for End-to-End Hierarchical
  Forecasting
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
Andrea Cini
Danilo Mandic
Cesare Alippi
AI4TS
32
9
0
30 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
Xinming Zhang
Jing Chen
BDL
48
7
0
26 May 2023
COMCAT: Towards Efficient Compression and Customization of
  Attention-Based Vision Models
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Jinqi Xiao
Miao Yin
Yu Gong
Xiao Zang
Jian Ren
Bo Yuan
VLM
ViT
43
9
0
26 May 2023
MixCE: Training Autoregressive Language Models by Mixing Forward and
  Reverse Cross-Entropies
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
Shiyue Zhang
Shijie Wu
Ozan Irsoy
Steven Lu
Joey Tianyi Zhou
Mark Dredze
David S. Rosenberg
23
9
0
26 May 2023
Differentiable Random Partition Models
Differentiable Random Partition Models
Thomas M. Sutter
Alain Ryser
Joram Liebeskind
Julia E. Vogt
42
3
0
26 May 2023
A Score-Based Model for Learning Neural Wavefunctions
A Score-Based Model for Learning Neural Wavefunctions
Xuan Zhang
Shenglong Xu
Shuiwang Ji
DiffM
31
1
0
25 May 2023
Martian time-series unraveled: A multi-scale nested approach with
  factorial variational autoencoders
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders
Ali Siahkoohi
Rudy Morel
Randall Balestriero
Erwan Allys
G. Sainton
Taichi Kawamura
Maarten V. de Hoop
29
2
0
25 May 2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled
  MRI Reconstruction
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
32
2
0
25 May 2023
PQA: Exploring the Potential of Product Quantization in DNN Hardware
  Acceleration
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
Ahmed F. AbouElhamayed
Angela Cui
Javier Fernandez-Marques
Nicholas D. Lane
Mohamed S. Abdelfattah
MQ
29
4
0
25 May 2023
Differentiable Clustering with Perturbed Spanning Forests
Differentiable Clustering with Perturbed Spanning Forests
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
29
8
0
25 May 2023
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