ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.04051
  4. Cited By
GANS for Sequences of Discrete Elements with the Gumbel-softmax
  Distribution

GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

12 November 2016
Matt J. Kusner
José Miguel Hernández-Lobato
    GAN
ArXivPDFHTML

Papers citing "GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution"

50 / 53 papers shown
Title
Discrete-state Continuous-time Diffusion for Graph Generation
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
51
10
0
19 May 2024
Towards Tracing Code Provenance with Code Watermarking
Towards Tracing Code Provenance with Code Watermarking
Wei Li
Borui Yang
Yujie Sun
Suyu Chen
Ziyun Song
Liyao Xiang
Xinbing Wang
Cheng Zhou
WaLM
32
6
0
21 May 2023
Improved Training of Mixture-of-Experts Language GANs
Improved Training of Mixture-of-Experts Language GANs
Yekun Chai
Qiyue Yin
Junge Zhang
GAN
19
5
0
23 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
55
1
0
17 Feb 2023
Modified Query Expansion Through Generative Adversarial Networks for
  Information Extraction in E-Commerce
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce
Altan Cakir
Mert Gürkan
48
2
0
30 Dec 2022
A survey on text generation using generative adversarial networks
A survey on text generation using generative adversarial networks
Gustavo de Rosa
João Paulo Papa
GAN
32
89
0
20 Dec 2022
Data Imputation with Iterative Graph Reconstruction
Data Imputation with Iterative Graph Reconstruction
J. Zhong
Weiwei Ye
Ning Gui
11
12
0
06 Dec 2022
Knowledge Graph Quality Evaluation under Incomplete Information
Knowledge Graph Quality Evaluation under Incomplete Information
Xiaodong Li
Chenxin Zou
Yimeng Cai
Yuelong Zhu
11
1
0
02 Dec 2022
Eco2AI: carbon emissions tracking of machine learning models as the
  first step towards sustainable AI
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
S. Budennyy
V. Lazarev
N. Zakharenko
A. Korovin
Olga Plosskaya
...
Ivan Oseledets
I. Barsola
Ilya M. Egorov
A. Kosterina
L. Zhukov
39
91
0
31 Jul 2022
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks
Maya Okawa
Tomoharu Iwata
AI4CE
PINN
26
20
0
07 Jul 2022
Survey of Generative Methods for Social Media Analysis
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amílcar Soares
Franccois Théberge
27
3
0
13 Dec 2021
Generating Symbolic Reasoning Problems with Transformer GANs
Generating Symbolic Reasoning Problems with Transformer GANs
Jens U. Kreber
Christopher Hahn
AI4CE
30
6
0
19 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
28
94
0
04 Oct 2021
Math Word Problem Generation with Mathematical Consistency and Problem
  Context Constraints
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
Zichao Wang
Andrew S. Lan
Richard G. Baraniuk
64
45
0
09 Sep 2021
Categorical EHR Imputation with Generative Adversarial Nets
Categorical EHR Imputation with Generative Adversarial Nets
Yinchong Yang
Zhiliang Wu
Volker Tresp
Peter A. Fasching
GAN
16
8
0
03 Aug 2021
Semantic Palette: Guiding Scene Generation with Class Proportions
Semantic Palette: Guiding Scene Generation with Class Proportions
G. L. Moing
Tuan-Hung Vu
Himalaya Jain
P. Pérez
Matthieu Cord
27
16
0
03 Jun 2021
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic
  and Robotic Surgery
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery
Yutong Ban
Guy Rosman
J. Eckhoff
Thomas M. Ward
Daniel A. Hashimoto
Taisei Kondo
Hidekazu Iwaki
O. Meireles
Daniela Rus
22
13
0
10 May 2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced
  Problem
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
Lun Jiang
N. S. Sadghiani
Zhuo Tao
Andrew Cohen
27
0
0
07 Apr 2021
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
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial
  Learning
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
Haochen Liu
Wentao Wang
Yiqi Wang
Hui Liu
Zitao Liu
Jiliang Tang
19
71
0
28 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance
  with Data Hiding
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
Sahar Abdelnabi
Mario Fritz
WaLM
28
89
0
07 Sep 2020
Minority Class Oversampling for Tabular Data with Deep Generative Models
Minority Class Oversampling for Tabular Data with Deep Generative Models
R. Camino
Christian A. Hammerschmidt
R. State
19
2
0
07 May 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving
  Adversarial Text Generation
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Haiyan Yin
Dingcheng Li
Xu Li
P. Li
37
23
0
12 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Andres Potapczynski
G. Loaiza-Ganem
John P. Cunningham
32
29
0
19 Dec 2019
Semantic Bottleneck Scene Generation
Semantic Bottleneck Scene Generation
S. Azadi
Michael Tschannen
Eric Tzeng
Sylvain Gelly
Trevor Darrell
Mario Lucic
21
29
0
26 Nov 2019
Molecular Generative Model Based On Adversarially Regularized
  Autoencoder
Molecular Generative Model Based On Adversarially Regularized Autoencoder
S. Hong
Jaechang Lim
Seongok Ryu
W. Kim
GAN
DRL
GNN
34
64
0
13 Nov 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Revision in Continuous Space: Unsupervised Text Style Transfer without
  Adversarial Learning
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu
Jie Fu
Yidan Zhang
C. Pal
Jiancheng Lv
DRL
39
48
0
29 May 2019
Style Transformer: Unpaired Text Style Transfer without Disentangled
  Latent Representation
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Ning Dai
Jianze Liang
Xipeng Qiu
Xuanjing Huang
DRL
13
202
0
14 May 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNN
BDL
CML
32
196
0
24 Apr 2019
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative
  Adversarial Networks
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks
Md. Akmal Haidar
Mehdi Rezagholizadeh
34
52
0
23 Apr 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDL
GNN
29
1
0
24 Jan 2019
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text
  Generation
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation
Xiang Zhang
Yann LeCun
14
0
0
10 Nov 2018
Bi-Directional Differentiable Input Reconstruction for Low-Resource
  Neural Machine Translation
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation
Xing Niu
Weijia Xu
Marine Carpuat
19
17
0
02 Nov 2018
Semi-supervised Text Regression with Conditional Generative Adversarial
  Networks
Semi-supervised Text Regression with Conditional Generative Adversarial Networks
Tao Li
Xudong Liu
Shihan Su
GAN
21
15
0
02 Oct 2018
Improving Reinforcement Learning Based Image Captioning with Natural
  Language Prior
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior
Tszhang Guo
Shiyu Chang
Mo Yu
Kun Bai
40
15
0
13 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
AAML
SILM
29
9
0
06 Sep 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
31
16
0
05 Aug 2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein
  Auto-Encoder
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu
Kyunghyun Cho
Jung-Woo Ha
Sunghun Kim
DRL
41
129
0
31 May 2018
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
230
0
02 May 2018
Adversarial Semantic Alignment for Improved Image Captions
Adversarial Semantic Alignment for Improved Image Captions
Pierre Dognin
Igor Melnyk
Youssef Mroueh
Jerret Ross
Tom Sercu
25
16
0
30 Apr 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning
Toward Diverse Text Generation with Inverse Reinforcement Learning
Zhan Shi
Xinchi Chen
Xipeng Qiu
Xuanjing Huang
14
104
0
30 Apr 2018
Scalable Sentiment for Sequence-to-sequence Chatbot Response with
  Performance Analysis
Scalable Sentiment for Sequence-to-sequence Chatbot Response with Performance Analysis
Chih-Wei Lee
Yau-Shian Wang
Tsung-Yuan Hsu
Kuan-Yu Chen
Hung-yi Lee
Lin-Shan Lee
25
32
0
07 Apr 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
29
360
0
02 Mar 2018
Texygen: A Benchmarking Platform for Text Generation Models
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu
Sidi Lu
Lei Zheng
Jiaxian Guo
Weinan Zhang
Jun Wang
Yong Yu
50
665
0
06 Feb 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation
  Inference
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott W. Linderman
Gonzalo E. Mena
H. Cooper
Liam Paninski
John P. Cunningham
21
50
0
26 Oct 2017
Neural Machine Translation with Gumbel-Greedy Decoding
Neural Machine Translation with Gumbel-Greedy Decoding
Jiatao Gu
Daniel Jiwoong Im
V. Li
25
35
0
22 Jun 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning
  to a Generative Visual Dialog Model
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu
A. Kannan
Jianwei Yang
Devi Parikh
Dhruv Batra
BDL
38
136
0
05 Jun 2017
Adversarial Ranking for Language Generation
Adversarial Ranking for Language Generation
Kevin Qinghong Lin
Dianqi Li
Xiaodong He
Zhengyou Zhang
Ming-Ting Sun
GAN
26
331
0
31 May 2017
12
Next