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Reward Augmented Maximum Likelihood for Neural Structured Prediction

Reward Augmented Maximum Likelihood for Neural Structured Prediction

1 September 2016
Mohammad Norouzi
Samy Bengio
Z. Chen
Navdeep Jaitly
M. Schuster
Yonghui Wu
Dale Schuurmans
ArXivPDFHTML

Papers citing "Reward Augmented Maximum Likelihood for Neural Structured Prediction"

40 / 40 papers shown
Title
Deterministic Reversible Data Augmentation for Neural Machine Translation
Deterministic Reversible Data Augmentation for Neural Machine Translation
Jiashu Yao
Heyan Huang
Zeming Liu
Yuhang Guo
51
0
0
21 Feb 2025
Denoising LM: Pushing the Limits of Error Correction Models for Speech
  Recognition
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition
Zijin Gu
Tatiana Likhomanenko
Richard He Bai
Erik McDermott
R. Collobert
Navdeep Jaitly
AuLLM
51
2
0
24 May 2024
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
Target-Side Augmentation for Document-Level Machine Translation
Target-Side Augmentation for Document-Level Machine Translation
Guangsheng Bao
Zhiyang Teng
Yue Zhang
26
10
0
08 May 2023
Tailoring Language Generation Models under Total Variation Distance
Tailoring Language Generation Models under Total Variation Distance
Haozhe Ji
Pei Ke
Zhipeng Hu
Rongsheng Zhang
Minlie Huang
28
18
0
26 Feb 2023
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
Transformers are Meta-Reinforcement Learners
Transformers are Meta-Reinforcement Learners
Luckeciano C. Melo
OffRL
41
50
0
14 Jun 2022
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
66
206
0
26 May 2022
CipherDAug: Ciphertext based Data Augmentation for Neural Machine
  Translation
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation
Nishant Kambhatla
Logan Born
Anoop Sarkar
21
16
0
01 Apr 2022
Robust Probabilistic Time Series Forecasting
Robust Probabilistic Time Series Forecasting
Taeho Yoon
Youngsuk Park
Ernest K. Ryu
Yuyang Wang
AAML
AI4TS
20
18
0
24 Feb 2022
Generative Cooperative Networks for Natural Language Generation
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier
Thomas Scialom
Antoine Chaffin
Vincent Claveau
Ewa Kijak
Jacopo Staiano
Benjamin Piwowarski
GAN
54
13
0
28 Jan 2022
Improving Scheduled Sampling with Elastic Weight Consolidation for
  Neural Machine Translation
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
Michalis Korakakis
Andreas Vlachos
CLL
31
2
0
13 Sep 2021
Rethinking Data Augmentation for Low-Resource Neural Machine
  Translation: A Multi-Task Learning Approach
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
Víctor M. Sánchez-Cartagena
M. Esplà-Gomis
Juan Antonio Pérez-Ortiz
Felipe Sánchez-Martínez
45
27
0
08 Sep 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A
  Survey
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
136
105
0
30 Apr 2021
Optimization Issues in KL-Constrained Approximate Policy Iteration
Optimization Issues in KL-Constrained Approximate Policy Iteration
N. Lazić
Botao Hao
Yasin Abbasi-Yadkori
Dale Schuurmans
Csaba Szepesvári
19
10
0
11 Feb 2021
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Lingyun Feng
Minghui Qiu
Yaliang Li
Haitao Zheng
Ying Shen
38
10
0
20 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
30
17
0
12 Oct 2020
Energy-Based Reranking: Improving Neural Machine Translation Using
  Energy-Based Models
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models
Sumanta Bhattacharyya
Pedram Rooshenas
Subhajit Naskar
Simeng Sun
Mohit Iyyer
Andrew McCallum
34
57
0
20 Sep 2020
Controlling Information Capacity of Binary Neural Network
Controlling Information Capacity of Binary Neural Network
D. Ignatov
Andrey D. Ignatov
MQ
30
21
0
04 Aug 2020
Estimating Gradients for Discrete Random Variables by Sampling without
  Replacement
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
W. Kool
H. V. Hoof
Max Welling
BDL
31
49
0
14 Feb 2020
Learning to Reach Goals via Iterated Supervised Learning
Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh
Abhishek Gupta
Ashwin Reddy
Justin Fu
Coline Devin
Benjamin Eysenbach
Sergey Levine
24
33
0
12 Dec 2019
Learning Data Manipulation for Augmentation and Weighting
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu
Bowen Tan
Ruslan Salakhutdinov
Tom Michael Mitchell
Eric P. Xing
24
116
0
28 Oct 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural
  Question Generation
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Yu Chen
Lingfei Wu
Mohammed J. Zaki
GNN
17
153
0
14 Aug 2019
Unified Semantic Parsing with Weak Supervision
Unified Semantic Parsing with Weak Supervision
Priyanka Agrawal
Parag Jain
Ayushi Dalmia
Abhishek Bansal
Ashish R. Mittal
Karthik Sankaranarayanan
36
10
0
12 Jun 2019
Structured Output Learning with Conditional Generative Flows
Structured Output Learning with Conditional Generative Flows
You Lu
Bert Huang
BDL
DRL
21
72
0
30 May 2019
Differentiable Sampling with Flexible Reference Word Order for Neural
  Machine Translation
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation
Weijia Xu
Xing Niu
Marine Carpuat
16
10
0
04 Apr 2019
Calibration of Encoder Decoder Models for Neural Machine Translation
Calibration of Encoder Decoder Models for Neural Machine Translation
Aviral Kumar
Sunita Sarawagi
16
98
0
03 Mar 2019
Learning to Generalize from Sparse and Underspecified Rewards
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal
Chen Liang
Dale Schuurmans
Mohammad Norouzi
OffRL
43
97
0
19 Feb 2019
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
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
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
32
1,547
0
11 May 2017
Reinforced Mnemonic Reader for Machine Reading Comprehension
Reinforced Mnemonic Reader for Machine Reading Comprehension
Minghao Hu
Yuxing Peng
Zhen Huang
Xipeng Qiu
Furu Wei
Ming Zhou
RALM
AIMat
19
69
0
08 May 2017
Machine Comprehension by Text-to-Text Neural Question Generation
Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan
Tong Wang
Çağlar Gülçehre
Alessandro Sordoni
Philip Bachman
Sandeep Subramanian
Saizheng Zhang
Adam Trischler
OOD
44
187
0
04 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
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured
  Outputs
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Michael Gygli
Mohammad Norouzi
A. Angelova
TDI
24
68
0
13 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
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
19
350
0
11 Nov 2016
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with
  Weak Supervision
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang
Jonathan Berant
Quoc V. Le
Kenneth D. Forbus
Ni Lao
NAI
44
404
0
31 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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