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. 1702.07983
  4. Cited By
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

26 February 2017
Tong Che
Yanran Li
Ruixiang Zhang
R. Devon Hjelm
Wenjie Li
Yangqiu Song
Yoshua Bengio
    GAN
ArXivPDFHTML

Papers citing "Maximum-Likelihood Augmented Discrete Generative Adversarial Networks"

34 / 34 papers shown
Title
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Hao Sun
M. Schaar
94
14
0
28 Jan 2025
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
46
10
0
28 Aug 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
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
88
0
20 Dec 2022
InitialGAN: A Language GAN with Completely Random Initialization
InitialGAN: A Language GAN with Completely Random Initialization
Da Ren
Qing Li
GAN
27
2
0
04 Aug 2022
Differential Privacy: What is all the noise about?
Differential Privacy: What is all the noise about?
Roxana Dánger Mercaderes
35
3
0
19 May 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
24
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
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and
  Literary Text Generation using Generative Adversarial Network
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
Sakib Shahriar
GAN
42
101
0
09 Aug 2021
Survey on reinforcement learning for language processing
Survey on reinforcement learning for language processing
Víctor Uc Cetina
Nicolás Navarro-Guerrero
A. Martín-González
C. Weber
S. Wermter
OffRL
24
101
0
12 Apr 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text
  Generation
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
Junyi Li
Tianyi Tang
Gaole He
Jinhao Jiang
Xiaoxuan Hu
Puzhao Xie
Zhipeng Chen
Zhuohao Yu
Wayne Xin Zhao
Ji-Rong Wen
37
25
0
06 Jan 2021
Improving Text Generation with Student-Forcing Optimal Transport
Improving Text Generation with Student-Forcing Optimal Transport
Guoyin Wang
Chunyuan Li
Jianqiao Li
Hao Fu
Yuh-Chen Lin
...
Ruiyi Zhang
Wenlin Wang
Dinghan Shen
Qian Yang
Lawrence Carin
OT
22
17
0
12 Oct 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
CausaLM: Causal Model Explanation Through Counterfactual Language Models
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Amir Feder
Nadav Oved
Uri Shalit
Roi Reichart
CML
LRM
36
156
0
27 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
26
817
0
20 Jan 2020
Mining Disinformation and Fake News: Concepts, Methods, and Recent
  Advancements
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
Kai Shu
Suhang Wang
Dongwon Lee
Huan Liu
13
78
0
02 Jan 2020
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
Meng Qu
Jian Tang
Yoshua Bengio
25
13
0
06 Jul 2019
Adversarial Sub-sequence for Text Generation
Adversarial Sub-sequence for Text Generation
Xingyuan Chen
Yanzhe Li
Peng Jin
Jiuhua Zhang
Xinyu Dai
Jiajun Chen
Gang Song
GAN
29
5
0
30 May 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
31
48
0
29 May 2019
Jointly Measuring Diversity and Quality in Text Generation Models
Jointly Measuring Diversity and Quality in Text Generation Models
Ehsan Montahaei
Danial Alihosseini
M. Baghshah
21
76
0
08 Apr 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language
  Models for Online Review Generation
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
Cristina Garbacea
Samuel Carton
Shiyan Yan
Qiaozhu Mei
ELM
19
29
0
02 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
6
0
0
10 Nov 2018
Training Generative Adversarial Networks with Weights
Training Generative Adversarial Networks with Weights
Sufeng Duan
D. Paul
M. Fasoulakis
Y. Stylianou
GAN
21
6
0
06 Nov 2018
Adversarial Semantic Alignment for Improved Image Captions
Adversarial Semantic Alignment for Improved Image Captions
Pierre L. Dognin
Igor Melnyk
Youssef Mroueh
Jerret Ross
Tom Sercu
25
16
0
30 Apr 2018
CoT: Cooperative Training for Generative Modeling of Discrete Data
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu
Lantao Yu
Siyuan Feng
Yaoming Zhu
Weinan Zhang
Yong Yu
GAN
27
19
0
11 Apr 2018
Correlated discrete data generation using adversarial training
Correlated discrete data generation using adversarial training
Shreyas Patel
A. Kakadiya
Maitrey Mehta
Raj Derasari
Rahul Patel
Ratnik Gandhi
GAN
14
19
0
03 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
38
665
0
06 Feb 2018
MaskGAN: Better Text Generation via Filling in the______
MaskGAN: Better Text Generation via Filling in the______
W. Fedus
Ian Goodfellow
Andrew M. Dai
24
468
0
23 Jan 2018
Pulsar Candidate Identification with Artificial Intelligence Techniques
Pulsar Candidate Identification with Artificial Intelligence Techniques
Ping Guo
Fuqing Duan
Pei Wang
Yao Yao
Qian Yin
Xin Xin
20
14
0
27 Nov 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric P. Xing
DRL
GAN
38
127
0
02 Jun 2017
Style Transfer from Non-Parallel Text by Cross-Alignment
Style Transfer from Non-Parallel Text by Cross-Alignment
T. Shen
Tao Lei
Regina Barzilay
Tommi Jaakkola
36
767
0
26 May 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
20
170
0
27 Feb 2017
1