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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
LightTS: Lightweight Time Series Classification with Adaptive Ensemble
  Distillation -- Extended Version
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version
David Campos
Miao Zhang
B. Yang
Tung Kieu
Chenjuan Guo
Christian S. Jensen
AI4TS
102
56
0
24 Feb 2023
Improved Training of Mixture-of-Experts Language GANs
Improved Training of Mixture-of-Experts Language GANs
Yekun Chai
Qiyue Yin
Junge Zhang
GAN
72
5
0
23 Feb 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMeOOD
161
80
0
22 Feb 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural
  Networks
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks
Indro Spinelli
Riccardo Bianchini
Simone Scardapane
59
1
0
22 Feb 2023
Differentiable Multi-Target Causal Bayesian Experimental Design
Differentiable Multi-Target Causal Bayesian Experimental Design
Yashas Annadani
P. Tigas
Desi R. Ivanova
Andrew Jesson
Y. Gal
Adam Foster
Stefan Bauer
BDLCML
97
13
0
21 Feb 2023
Reusable Slotwise Mechanisms
Reusable Slotwise Mechanisms
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
107
4
0
21 Feb 2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning
  for Task-oriented Dialogue Systems
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
Yihao Feng
Shentao Yang
Shujian Zhang
Jianguo Zhang
Caiming Xiong
Mi Zhou
Haiquan Wang
OffRL
102
25
0
20 Feb 2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task
  Language Development and Translation
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
Jing-Cheng Pang
Xinyi Yang
Sibei Yang
Yang Yu
73
9
0
18 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y
  Aplicaciones
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones
J. D. L. Torre
DRL
55
1
0
18 Feb 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi
Varun Babbar
P. Sun
Fran Silavong
Ruibo Shi
Sean J. Moran
Sean Moran
164
1
0
17 Feb 2023
3D Human Pose Lifting with Grid Convolution
3D Human Pose Lifting with Grid Convolution
Yangyuxuan Kang
Yuyang Liu
Anbang Yao
Shandong Wang
Enhua Wu
3DH
51
6
0
17 Feb 2023
Speech Enhancement with Multi-granularity Vector Quantization
Speech Enhancement with Multi-granularity Vector Quantization
Xiaokang Zhao
Qiu-shi Zhu
Jie Zhang
69
0
0
16 Feb 2023
Meta-Reinforcement Learning via Exploratory Task Clustering
Meta-Reinforcement Learning via Exploratory Task Clustering
Zhendong Chu
Hongning Wang
OffRL
88
7
0
15 Feb 2023
Self-Organising Neural Discrete Representation Learning à la Kohonen
Self-Organising Neural Discrete Representation Learning à la Kohonen
Kazuki Irie
Róbert Csordás
Jürgen Schmidhuber
SSL
91
1
0
15 Feb 2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data
CUTS: Neural Causal Discovery from Irregular Time-Series Data
Yuxiao Cheng
Runzhao Yang
Tingxiong Xiao
Zongren Li
J. Suo
K. He
Qionghai Dai
OODBDLAI4TSCML
80
28
0
15 Feb 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning
FedABC: Targeting Fair Competition in Personalized Federated Learning
Dui Wang
Li Shen
Yong Luo
Han Hu
Kehua Su
Yonggang Wen
Dacheng Tao
FedML
87
9
0
15 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDLUQCV
71
5
0
13 Feb 2023
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
Shyam Sudhakaran
Miguel González Duque
Claire Glanois
Matthias Anton Freiberger
Elias Najarro
S. Risi
VLM
103
58
0
12 Feb 2023
Vector Quantized Wasserstein Auto-Encoder
Vector Quantized Wasserstein Auto-Encoder
Tung-Long Vuong
Trung Le
He Zhao
Chuanxia Zheng
Mehrtash Harandi
Jianfei Cai
Dinh Q. Phung
DRL
73
20
0
12 Feb 2023
Learning by Applying: A General Framework for Mathematical Reasoning via
  Enhancing Explicit Knowledge Learning
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
Jia-Yin Liu
Zhenya Huang
Chengxiang Zhai
Qi Liu
49
20
0
11 Feb 2023
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial
  Text Attacks
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks
Piotr Gaiñski
Klaudia Bałazy
67
7
0
10 Feb 2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
Xinyi Yang
Shiyu Huang
Yiwen Sun
Yuxiang Yang
Chao Yu
Weijuan Tu
Huazhong Yang
Yu Wang
53
7
0
08 Feb 2023
SimCon Loss with Multiple Views for Text Supervised Semantic
  Segmentation
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
Yash J. Patel
Yusheng Xie
Yi Zhu
Srikar Appalaraju
R. Manmatha
80
4
0
07 Feb 2023
LUT-NN: Empower Efficient Neural Network Inference with Centroid
  Learning and Table Lookup
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
Xiaohu Tang
Yang Wang
Ting Cao
Li Zhang
Qi Chen
Deng Cai
Yunxin Liu
Mao Yang
92
18
0
07 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
95
1
0
06 Feb 2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in
  Recommendation
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
Junjie Huang
Qi Cao
Ruobing Xie
Shaoliang Zhang
Feng Xia
Huawei Shen
Xueqi Cheng
41
9
0
05 Feb 2023
Referential communication in heterogeneous communities of pre-trained
  visual deep networks
Referential communication in heterogeneous communities of pre-trained visual deep networks
Matéo Mahaut
Francesca Franzon
Roberto Dessì
Marco Baroni
85
7
0
04 Feb 2023
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior
  and Contrastive Similarity
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity
H. Du
Qihua Dong
Yan Xu
J. Liao
84
13
0
04 Feb 2023
Improving Interpretability via Explicit Word Interaction Graph Layer
Improving Interpretability via Explicit Word Interaction Graph Layer
Arshdeep Sekhon
Hanjie Chen
A. Shrivastava
Zhe Wang
Yangfeng Ji
Yanjun Qi
AI4CEMILM
73
6
0
03 Feb 2023
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale
  Device Stochasticity
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
Prabodh Katti
N. Skatchkovsky
Osvaldo Simeone
Bipin Rajendran
Bashir M. Al-Hashimi
87
4
0
02 Feb 2023
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors
  Quantization
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization
Rita Pucci
C. Micheloni
N. Martinel
64
0
0
02 Feb 2023
Disentanglement of Latent Representations via Causal Interventions
Disentanglement of Latent Representations via Causal Interventions
Gaël Gendron
Michael Witbrock
Gillian Dobbie
OODCMLCoGe
142
2
0
02 Feb 2023
Towards Inference Efficient Deep Ensemble Learning
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
62
14
0
29 Jan 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model
DBGDGM: Dynamic Brain Graph Deep Generative Model
Alexander Campbell
Simeon E. Spasov
N. Toschi
Pietro Lio
47
0
0
26 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep
  Learning Models on Edge Devices
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices
Yuji Chai
Devashree Tripathy
Chu Zhou
Dibakar Gope
Igor Fedorov
Ramon Matas
David Brooks
Gu-Yeon Wei
P. Whatmough
GNN
83
5
0
26 Jan 2023
Unifying Synergies between Self-supervised Learning and Dynamic
  Computation
Unifying Synergies between Self-supervised Learning and Dynamic Computation
Tarun Krishna
Ayush K. Rai
Alexandru Drimbarean
Eric Arazo
Paul Albert
Alan F. Smeaton
Kevin McGuinness
Noel E. O'Connor
89
0
0
22 Jan 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge
  Distillation
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation
Utkarsh Nath
Yancheng Wang
Yingzhen Yang
AAML
66
2
0
19 Jan 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
47
0
0
16 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration
Rationalizing Predictions by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
69
7
0
15 Jan 2023
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware
  Transformers
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
Xumin Yu
Yongming Rao
Ziyi Wang
Jiwen Lu
Jie Zhou
ViT
102
61
0
11 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
115
78
0
11 Jan 2023
Dynamic Grained Encoder for Vision Transformers
Dynamic Grained Encoder for Vision Transformers
Lin Song
Songyang Zhang
Songtao Liu
Zeming Li
Xuming He
Hongbin Sun
Jian Sun
Nanning Zheng
ViT
87
34
0
10 Jan 2023
Fast and Correct Gradient-Based Optimisation for Probabilistic
  Programming via Smoothing
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing
Basim Khajwal
C.-H. Luke Ong
Dominik Wagner
37
4
0
09 Jan 2023
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
Ming Li
Xiangyu Xu
Hehe Fan
Pan Zhou
Jun Liu
Jia-Wei Liu
Jiahe Li
Jussi Keppo
Mike Zheng Shou
Shuicheng Yan
ViTPICV
104
13
0
08 Jan 2023
Language as a Latent Sequence: deep latent variable models for
  semi-supervised paraphrase generation
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation
Jialin Yu
Alexandra I. Cristea
Anoushka Harit
Zhongtian Sun
O. Aduragba
Lei Shi
Noura Al Moubayed
VLMBDLDRL
101
3
0
05 Jan 2023
Competitive learning to generate sparse representations for associative
  memory
Competitive learning to generate sparse representations for associative memory
Luis Sa-Couto
Andreas Wichert
64
7
0
05 Jan 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
Muralikrishnna G. Sethuraman
Romain Lopez
Ramkumar Veppathur Mohan
Faramarz Fekri
Tommaso Biancalani
Jan-Christian Hütter
CML
81
12
0
04 Jan 2023
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Runcong Zhao
Lin Gui
Hanqi Yan
Yulan He
52
3
0
03 Jan 2023
Learning to Maximize Mutual Information for Dynamic Feature Selection
Learning to Maximize Mutual Information for Dynamic Feature Selection
Ian Covert
Wei Qiu
Mingyu Lu
Nayoon Kim
Nathan White
Su-In Lee
85
30
0
02 Jan 2023
Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation
Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation
Tomer Wullach
Shlomo E. Chazan
81
1
0
27 Dec 2022
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