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. 1704.06497
  4. Cited By
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning

21 April 2017
Julia Kreutzer
Artem Sokolov
Stefan Riezler
ArXivPDFHTML

Papers citing "Bandit Structured Prediction for Neural Sequence-to-Sequence Learning"

12 / 12 papers shown
Title
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings
Miguel Moura Ramos
Tomás Almeida
Daniel Vareta
Filipe Azevedo
Sweta Agrawal
Patrick Fernandes
André F. T. Martins
31
1
0
08 Nov 2024
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
114
93
0
06 Oct 2022
Fixing exposure bias with imitation learning needs powerful oracles
Fixing exposure bias with imitation learning needs powerful oracles
L. Hormann
Artem Sokolov
26
3
0
09 Sep 2021
Continual Learning for Grounded Instruction Generation by Observing
  Human Following Behavior
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
Noriyuki Kojima
Alane Suhr
Yoav Artzi
25
24
0
10 Aug 2021
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine
  Translation
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
Samuel Kiegeland
Julia Kreutzer
AAML
31
46
0
16 Jun 2021
Interactive Learning from Activity Description
Interactive Learning from Activity Description
Khanh Nguyen
Dipendra Kumar Misra
Robert Schapire
Miroslav Dudík
Patrick Shafto
47
34
0
13 Feb 2021
Machine Translation System Selection from Bandit Feedback
Machine Translation System Selection from Bandit Feedback
Jason Naradowsky
Xuan Zhang
Kevin Duh
OffRL
11
8
0
22 Feb 2020
APRIL: Interactively Learning to Summarise by Combining Active
  Preference Learning and Reinforcement Learning
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Yang Gao
Christian M. Meyer
Iryna Gurevych
13
34
0
29 Aug 2018
Reliability and Learnability of Human Bandit Feedback for
  Sequence-to-Sequence Reinforcement Learning
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
Julia Kreutzer
Joshua Uyheng
Stefan Riezler
25
83
0
27 May 2018
Reinforcement Learning for Bandit Neural Machine Translation with
  Simulated Human Feedback
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Khanh Nguyen
Hal Daumé
Jordan L. Boyd-Graber
27
135
0
24 Jul 2017
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
6,743
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
1