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SEARNN: Training RNNs with Global-Local Losses

SEARNN: Training RNNs with Global-Local Losses

14 June 2017
Rémi Leblond
Jean-Baptiste Alayrac
A. Osokin
Simon Lacoste-Julien
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Papers citing "SEARNN: Training RNNs with Global-Local Losses"

11 / 11 papers shown
Title
Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy
Prithviraj Ammanabrolu
Kianté Brantley
Jack Hessel
R. Sifa
Christian Bauckhage
Hannaneh Hajishirzi
Yejin Choi
OffRL
31
239
0
03 Oct 2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error
  Accumulation in Language Generation
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
Kushal Arora
Layla El Asri
Hareesh Bahuleyan
Jackie C.K. Cheung
29
79
0
03 Apr 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
ImageBART: Bidirectional Context with Multinomial Diffusion for
  Autoregressive Image Synthesis
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser
Robin Rombach
A. Blattmann
Bjorn Ommer
DiffM
26
156
0
19 Aug 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi
F. Soumis
Simon Lacoste-Julien
AI4TS
20
10
0
25 May 2021
Active Imitation Learning with Noisy Guidance
Active Imitation Learning with Noisy Guidance
Kianté Brantley
Amr Sharaf
Hal Daumé
19
23
0
26 May 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
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
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello
Sayali Kulkarni
Sagar Jain
Craig Boutilier
Ed H. Chi
Elad Eban
Xiyang Luo
Alan Mackey
Ofer Meshi
25
91
0
04 Oct 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
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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