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. 1506.03099
  4. Cited By
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

9 June 2015
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
ArXivPDFHTML

Papers citing "Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks"

50 / 376 papers shown
Title
SemStyle: Learning to Generate Stylised Image Captions using Unaligned
  Text
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
A. Mathews
Lexing Xie
Xuming He
VLM
24
115
0
18 May 2018
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Dario Pavllo
David Grangier
Michael Auli
3DH
22
259
0
16 May 2018
RETURNN as a Generic Flexible Neural Toolkit with Application to
  Translation and Speech Recognition
RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition
Albert Zeyer
Tamer Alkhouli
Hermann Ney
37
90
0
14 May 2018
Token-level and sequence-level loss smoothing for RNN language models
Token-level and sequence-level loss smoothing for RNN language models
Maha Elbayad
Laurent Besacier
Jakob Verbeek
22
19
0
14 May 2018
Discourse-Aware Neural Rewards for Coherent Text Generation
Discourse-Aware Neural Rewards for Coherent Text Generation
Antoine Bosselut
Asli Celikyilmaz
Xiaodong He
Jianfeng Gao
Po-Sen Huang
Yejin Choi
23
79
0
10 May 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
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in
  Spatiotemporal Predictive Learning
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang
Zhifeng Gao
Mingsheng Long
Jianmin Wang
Philip S. Yu
20
470
0
17 Apr 2018
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal
  Attentions for Video Captioning
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
Qing Guo
Yuan-fang Wang
William Yang Wang
13
76
0
15 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
33
19
0
11 Apr 2018
Regularizing RNNs for Caption Generation by Reconstructing The Past with
  The Present
Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Xinpeng Chen
Lin Ma
Wenhao Jiang
Jian Yao
Wen Liu
17
92
0
30 Mar 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in
  Music
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts
Jesse Engel
Colin Raffel
Curtis Hawthorne
Douglas Eck
BDL
41
474
0
13 Mar 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
32
179
0
01 Mar 2018
Ranking Sentences for Extractive Summarization with Reinforcement
  Learning
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Shashi Narayan
Shay B. Cohen
Mirella Lapata
28
545
0
23 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled
  Motion Control
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
Glen Berseth
Kevin Xie
Paul Cernek
M. van de Panne
29
56
0
13 Feb 2018
Improving Variational Encoder-Decoders in Dialogue Generation
Improving Variational Encoder-Decoders in Dialogue Generation
Xiaoyu Shen
Hui Su
Shuzi Niu
Vera Demberg
DRL
32
99
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
Multi-Label Learning from Medical Plain Text with Convolutional Residual
  Models
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models
Xinyuan Zhang
Ricardo Henao
Zhe Gan
Yitong Li
Lawrence Carin
27
33
0
15 Jan 2018
Convolutional Image Captioning
Convolutional Image Captioning
J. Aneja
Aditya Deshpande
A. Schwing
VLM
37
359
0
24 Nov 2017
Speech recognition for medical conversations
Speech recognition for medical conversations
Chung-Cheng Chiu
Anshuman Tripathi
Katherine Chou
Chris Co
Navdeep Jaitly
...
Ananth Sankar
Justin Tansuwan
Nathan Wan
Yonghui Wu
Xuedong Zhang
LM&MA
30
84
0
20 Nov 2017
Paraphrase Generation with Deep Reinforcement Learning
Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
Xin Jiang
Lifeng Shang
Hang Li
OffRL
16
213
0
01 Nov 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep
  Reinforcement Learning
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar
Tim Rocktaschel
Maximilian Igl
Shimon Whiteson
OffRL
22
71
0
31 Oct 2017
Order-Preserving Abstractive Summarization for Spoken Content Based on
  Connectionist Temporal Classification
Order-Preserving Abstractive Summarization for Spoken Content Based on Connectionist Temporal Classification
Bo-Ru Lu
Frank Shyu
Yun-Nung (Vivian) Chen
Hung-yi Lee
Lin-Shan Lee
24
5
0
16 Sep 2017
A Unified Query-based Generative Model for Question Generation and
  Question Answering
A Unified Query-based Generative Model for Question Generation and Question Answering
Linfeng Song
Zhiguo Wang
Wael Hamza
31
48
0
04 Sep 2017
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
35
2,824
0
09 Aug 2017
A Continuous Relaxation of Beam Search for End-to-end Training of Neural
  Sequence Models
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Kartik Goyal
Graham Neubig
Chris Dyer
Taylor Berg-Kirkpatrick
3DV
44
40
0
01 Aug 2017
Learning audio sequence representations for acoustic event
  classification
Learning audio sequence representations for acoustic event classification
Zixing Zhang
Ding Liu
Jing Han
Kun Qian
Björn Schuller
SSL
AI4TS
38
14
0
27 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
51
551
0
19 Jul 2017
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion
  Synthesis
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
Zimo Li
Yi Zhou
Shuangjiu Xiao
C. He
Zeng Huang
Hao Li
3DH
24
47
0
17 Jul 2017
Reverse Curriculum Generation for Reinforcement Learning
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
34
435
0
17 Jul 2017
Neural Sequence Model Training via $α$-divergence Minimization
Neural Sequence Model Training via ααα-divergence Minimization
Sotetsu Koyamada
Yuta Kikuchi
Atsunori Kanemura
S. Maeda
S. Ishii
65
0
0
30 Jun 2017
Action Search: Spotting Actions in Videos and Its Application to
  Temporal Action Localization
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
Humam Alwassel
Fabian Caba Heilbron
Guohao Li
30
7
0
13 Jun 2017
Modeling The Intensity Function Of Point Process Via Recurrent Neural
  Networks
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao
Junchi Yan
Stephen M. Chu
Xiaokang Yang
H. Zha
AI4TS
20
265
0
24 May 2017
On-the-fly Operation Batching in Dynamic Computation Graphs
On-the-fly Operation Batching in Dynamic Computation Graphs
Graham Neubig
Yoav Goldberg
Chris Dyer
34
60
0
22 May 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
78
498
0
17 May 2017
On human motion prediction using recurrent neural networks
On human motion prediction using recurrent neural networks
Julieta Martinez
Michael J. Black
Javier Romero
3DH
22
923
0
06 May 2017
A comprehensive study of batch construction strategies for recurrent
  neural networks in MXNet
A comprehensive study of batch construction strategies for recurrent neural networks in MXNet
P. Doetsch
Pavel Golik
Hermann Ney
32
17
0
05 May 2017
From Language to Programs: Bridging Reinforcement Learning and Maximum
  Marginal Likelihood
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu
Panupong Pasupat
E. Liu
Percy Liang
34
190
0
25 Apr 2017
Differentiable Scheduled Sampling for Credit Assignment
Differentiable Scheduled Sampling for Credit Assignment
Kartik Goyal
Chris Dyer
Taylor Berg-Kirkpatrick
24
40
0
23 Apr 2017
Neural End-to-End Learning for Computational Argumentation Mining
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
Johannes Daxenberger
Iryna Gurevych
19
192
0
20 Apr 2017
Recurrent Environment Simulators
Recurrent Environment Simulators
Silvia Chiappa
S. Racanière
Daan Wierstra
S. Mohamed
28
206
0
07 Apr 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy
  Risks in Images
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
Rakshith Shetty
Bernt Schiele
Mario Fritz
35
223
0
30 Mar 2017
Tacotron: Towards End-to-End Speech Synthesis
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang
RJ Skerry-Ryan
Daisy Stanton
Yonghui Wu
Ron J. Weiss
...
Samy Bengio
Quoc V. Le
Yannis Agiomyrgiannakis
R. Clark
Rif A. Saurous
45
1,804
0
29 Mar 2017
Coordinated Multi-Agent Imitation Learning
Coordinated Multi-Agent Imitation Learning
Hoang Minh Le
Yisong Yue
Peter Carr
P. Lucey
31
187
0
09 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
37
171
0
05 Mar 2017
Incorporating Global Visual Features into Attention-Based Neural Machine
  Translation
Incorporating Global Visual Features into Attention-Based Neural Machine Translation
Iacer Calixto
Qun Liu
Nick Campbell
32
154
0
23 Jan 2017
Comprehension-guided referring expressions
Comprehension-guided referring expressions
Ruotian Luo
Gregory Shakhnarovich
ObjD
29
171
0
12 Jan 2017
Areas of Attention for Image Captioning
Areas of Attention for Image Captioning
M. Pedersoli
Thomas Lucas
Cordelia Schmid
Jakob Verbeek
33
205
0
03 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
11
1,877
0
02 Dec 2016
Semantic Regularisation for Recurrent Image Annotation
Semantic Regularisation for Recurrent Image Annotation
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
31
103
0
16 Nov 2016
Lip Reading Sentences in the Wild
Lip Reading Sentences in the Wild
Joon Son Chung
A. Senior
Oriol Vinyals
Andrew Zisserman
176
784
0
16 Nov 2016
Previous
12345678
Next