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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"

36 / 286 papers shown
Title
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
22
47
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
Bernard Ghanem
20
7
0
13 Jun 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
26
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
35
497
0
17 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
16
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
24
190
0
25 Apr 2017
Differentiable Scheduled Sampling for Credit Assignment
Differentiable Scheduled Sampling for Credit Assignment
Kartik Goyal
Chris Dyer
Taylor Berg-Kirkpatrick
16
40
0
23 Apr 2017
Recurrent Environment Simulators
Recurrent Environment Simulators
Silvia Chiappa
S. Racanière
Daan Wierstra
S. Mohamed
12
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
27
223
0
30 Mar 2017
Coordinated Multi-Agent Imitation Learning
Coordinated Multi-Agent Imitation Learning
Hoang Minh Le
Yisong Yue
Peter Carr
P. Lucey
18
187
0
09 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
24
154
0
23 Jan 2017
Comprehension-guided referring expressions
Comprehension-guided referring expressions
Ruotian Luo
Gregory Shakhnarovich
ObjD
27
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
25
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
1,876
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
29
103
0
16 Nov 2016
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
GAN
6
350
0
11 Nov 2016
Incremental Sequence Learning
Incremental Sequence Learning
E. Jong
CLL
16
5
0
09 Nov 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
31
588
0
27 Oct 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
11
2,385
0
18 Sep 2016
Multi-Sensor Prognostics using an Unsupervised Health Index based on
  LSTM Encoder-Decoder
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder
Pankaj Malhotra
T. Vishnu
Anusha Ramakrishnan
G. Anand
L. Vig
Puneet Agarwal
Gautam M. Shroff
AI4TS
AI4CE
11
173
0
22 Aug 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
13
46
0
17 Aug 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
31
633
0
24 Jul 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Jonathan Tompson
Kristofer Schlachter
Pablo Sprechmann
Ken Perlin
41
528
0
13 Jul 2016
Sequence-to-Sequence Learning as Beam-Search Optimization
Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman
Alexander M. Rush
21
589
0
09 Jun 2016
End-to-End Instance Segmentation with Recurrent Attention
End-to-End Instance Segmentation with Recurrent Attention
Mengye Ren
R. Zemel
SSeg
22
61
0
30 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
35
928
0
25 May 2016
Learning Global Features for Coreference Resolution
Learning Global Features for Coreference Resolution
Sam Wiseman
Alexander M. Rush
Stuart M. Shieber
11
195
0
11 Apr 2016
A Fast Unified Model for Parsing and Sentence Understanding
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
Jon Gauthier
Abhinav Rastogi
Raghav Gupta
Christopher D. Manning
Christopher Potts
20
313
0
19 Mar 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
19
222
0
16 Mar 2016
Training with Exploration Improves a Greedy Stack-LSTM Parser
Training with Exploration Improves a Greedy Stack-LSTM Parser
Miguel Ballesteros
Yoav Goldberg
Chris Dyer
Noah A. Smith
18
77
0
11 Mar 2016
Generating News Headlines with Recurrent Neural Networks
Generating News Headlines with Recurrent Neural Networks
Konstantin Lopyrev
13
117
0
05 Dec 2015
Multilingual Language Processing From Bytes
Multilingual Language Processing From Bytes
D. Gillick
Clifford Brunk
Oriol Vinyals
A. Subramanya
12
223
0
01 Dec 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
15
296
0
16 Nov 2015
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Haonan Yu
Jiang Wang
Zhiheng Huang
Yi Yang
W. Xu
42
560
0
26 Oct 2015
Listen, Attend and Spell
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
30
2,250
0
05 Aug 2015
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