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Nested-Wasserstein Self-Imitation Learning for Sequence Generation

Nested-Wasserstein Self-Imitation Learning for Sequence Generation

20 January 2020
Ruiyi Zhang
Changyou Chen
Zhe Gan
Zheng Wen
Wenlin Wang
Lawrence Carin
ArXivPDFHTML

Papers citing "Nested-Wasserstein Self-Imitation Learning for Sequence Generation"

50 / 51 papers shown
Title
Self-Imitation Learning by Planning
Self-Imitation Learning by Planning
Junhyuk Oh
Yijie Guo
Satinder Singh
SSL
107
85
0
25 Mar 2021
What Makes A Good Story? Designing Composite Rewards for Visual
  Storytelling
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
Junjie Hu
Yu Cheng
Zhe Gan
Jingjing Liu
Jianfeng Gao
Graham Neubig
16
67
0
11 Sep 2019
Hierarchical Optimal Transport for Document Representation
Hierarchical Optimal Transport for Document Representation
Mikhail Yurochkin
Sebastian Claici
Edward Chien
F. Mirzazadeh
Justin Solomon
OT
28
90
0
26 Jun 2019
Topic-Guided Variational Autoencoders for Text Generation
Topic-Guided Variational Autoencoders for Text Generation
Wenlin Wang
Zhe Gan
Hongteng Xu
Ruiyi Zhang
Guoyin Wang
Dinghan Shen
Changyou Chen
Lawrence Carin
BDL
46
127
0
17 Mar 2019
Improving Sequence-to-Sequence Learning via Optimal Transport
Improving Sequence-to-Sequence Learning via Optimal Transport
Liqun Chen
Yizhe Zhang
Ruiyi Zhang
Chenyang Tao
Zhe Gan
Haichao Zhang
Bai Li
Dinghan Shen
Changyou Chen
Lawrence Carin
OT
28
94
0
18 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
44
273
0
16 Jan 2019
Connecting the Dots Between MLE and RL for Sequence Prediction
Connecting the Dots Between MLE and RL for Sequence Prediction
Bowen Tan
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
87
24
0
24 Nov 2018
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
138
216
0
06 Nov 2018
Sequence Generation with Guider Network
Sequence Generation with Guider Network
Ruiyi Zhang
Changyou Chen
Zhe Gan
Wenlin Wang
Liqun Chen
Dinghan Shen
Guoyin Wang
Lawrence Carin
3DV
16
4
0
02 Nov 2018
Policy Optimization as Wasserstein Gradient Flows
Policy Optimization as Wasserstein Gradient Flows
Ruiyi Zhang
Changyou Chen
Chunyuan Li
Lawrence Carin
40
67
0
09 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
50
129
0
31 May 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
50
65
0
25 May 2018
Hierarchically Structured Reinforcement Learning for Topically Coherent
  Visual Story Generation
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
Qiuyuan Huang
Zhe Gan
Asli Celikyilmaz
D. Wu
Jianfeng Wang
Xiaodong He
BDL
28
92
0
21 May 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual
  Storytelling
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Eric Wang
Wenhu Chen
Yuan-fang Wang
William Yang Wang
32
158
0
24 Apr 2018
Improving GANs Using Optimal Transport
Improving GANs Using Optimal Transport
Tim Salimans
Han Zhang
Alec Radford
Dimitris N. Metaxas
OT
GAN
36
323
0
15 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
59
671
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
43
469
0
23 Jan 2018
Advances in Pre-Training Distributed Word Representations
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
Edouard Grave
Piotr Bojanowski
Christian Puhrsch
Armand Joulin
AI4TS
VLM
45
1,238
0
26 Dec 2017
Video Captioning via Hierarchical Reinforcement Learning
Video Captioning via Hierarchical Reinforcement Learning
Xin Eric Wang
Wenhu Chen
Jiawei Wu
Yuan-fang Wang
William Yang Wang
48
228
0
29 Nov 2017
Long Text Generation via Adversarial Training with Leaked Information
Long Text Generation via Adversarial Training with Leaked Information
Jiaxian Guo
Sidi Lu
Han Cai
Weinan Zhang
Yong Yu
Jun Wang
GAN
34
497
0
24 Sep 2017
Reinforced Video Captioning with Entailment Rewards
Reinforced Video Captioning with Entailment Rewards
Ramakanth Pasunuru
Joey Tianyi Zhou
37
115
0
07 Aug 2017
Adversarial Feature Matching for Text Generation
Adversarial Feature Matching for Text Generation
Yizhe Zhang
Zhe Gan
Kai Fan
Zhi Chen
Ricardo Henao
Dinghan Shen
Lawrence Carin
GAN
57
333
0
12 Jun 2017
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
107
625
0
01 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
42
333
0
31 May 2017
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
99
1,551
0
11 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
50
9,509
0
31 Mar 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
  Captioning
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu
Caiming Xiong
Devi Parikh
R. Socher
91
1,448
0
06 Dec 2016
Self-critical Sequence Training for Image Captioning
Self-critical Sequence Training for Image Captioning
Steven J. Rennie
E. Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
80
1,880
0
02 Dec 2016
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Siqi Liu
Zhenhai Zhu
Ning Ye
S. Guadarrama
Kevin Patrick Murphy
99
444
0
01 Dec 2016
Semantic Compositional Networks for Visual Captioning
Semantic Compositional Networks for Visual Captioning
Zhe Gan
Chuang Gan
Xiaodong He
Yunchen Pu
Kenneth Tran
Jianfeng Gao
Lawrence Carin
Li Deng
CoGe
66
426
0
23 Nov 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
31
2,397
0
18 Sep 2016
An Actor-Critic Algorithm for Sequence Prediction
An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau
Philemon Brakel
Kelvin Xu
Anirudh Goyal
Ryan J. Lowe
Joelle Pineau
Aaron Courville
Yoshua Bengio
91
637
0
24 Jul 2016
Sequence-to-Sequence Learning as Beam-Search Optimization
Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman
Alexander M. Rush
89
591
0
09 Jun 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
223
14,196
0
23 Feb 2016
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
61
1,610
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
171
3,777
0
18 Nov 2015
How (not) to Train your Generative Model: Scheduled Sampling,
  Likelihood, Adversary?
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
OOD
DiffM
GAN
37
296
0
16 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
113
13,174
0
09 Sep 2015
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
52
2,695
0
02 Sep 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
99
2,024
0
09 Jun 2015
Describing Videos by Exploiting Temporal Structure
Describing Videos by Exploiting Temporal Structure
L. Yao
Atousa Torabi
Kyunghyun Cho
Nicolas Ballas
C. Pal
Hugo Larochelle
Aaron Courville
105
1,063
0
27 Feb 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
208
6,722
0
19 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
229
10,034
0
10 Feb 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
36
5,569
0
07 Dec 2014
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
173
4,451
0
20 Nov 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
173
6,009
0
17 Nov 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
202
20,467
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
267
27,205
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
375
23,235
0
03 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
116
43,290
0
01 May 2014
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