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Sequence-to-Sequence Learning as Beam-Search Optimization

Sequence-to-Sequence Learning as Beam-Search Optimization

9 June 2016
Sam Wiseman
Alexander M. Rush
ArXivPDFHTML

Papers citing "Sequence-to-Sequence Learning as Beam-Search Optimization"

50 / 277 papers shown
Title
Speaker and Direction Inferred Dual-channel Speech Separation
Speaker and Direction Inferred Dual-channel Speech Separation
Chenxing Li
Jiaming Xu
N. Mesgarani
Bo Xu
16
8
0
08 Feb 2021
Incremental Beam Manipulation for Natural Language Generation
Incremental Beam Manipulation for Natural Language Generation
J. Hargreaves
Andreas Vlachos
Guy Edward Toh Emerson
22
7
0
04 Feb 2021
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged
  Gradient Method for Stochastic Optimization
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization
Aaron Defazio
Samy Jelassi
ODL
17
68
0
26 Jan 2021
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for
  Neural Machine Translation
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation
Nikolay Bogoychev
Pinzhen Chen
25
6
0
02 Jan 2021
Robust Dialogue Utterance Rewriting as Sequence Tagging
Robust Dialogue Utterance Rewriting as Sequence Tagging
Jie Hao
Linfeng Song
Liwei Wang
Kun Xu
Zhaopeng Tu
Dong Yu
30
6
0
29 Dec 2020
Discriminative Pre-training for Low Resource Title Compression in
  Conversational Grocery
Discriminative Pre-training for Low Resource Title Compression in Conversational Grocery
Snehasish Mukherjee
Phaniram Sayapaneni
Shankara B. Subramanya
24
2
0
13 Dec 2020
Refining Automatic Speech Recognition System for older adults
Refining Automatic Speech Recognition System for older adults
Liu Chen
Meysam Asgari
40
7
0
17 Nov 2020
A Hybrid Approach for Improved Low Resource Neural Machine Translation
  using Monolingual Data
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data
Idris Abdulmumin
B. Galadanci
Abubakar Isa
Habeebah Adamu Kakudi
Ismaila Idris Sinan
21
6
0
14 Nov 2020
Semi-supervised Autoencoding Projective Dependency Parsing
Semi-supervised Autoencoding Projective Dependency Parsing
Xiao Zhang
Dan Goldwasser
22
0
0
02 Nov 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
Jianlei Chi
YunHuan Qu
Ting Liu
Q. Zheng
Heng Yin
50
51
0
21 Oct 2020
An Empirical Investigation of Beam-Aware Training in Supertagging
An Empirical Investigation of Beam-Aware Training in Supertagging
Renato M. P. Negrinho
Matthew R. Gormley
Geoffrey J. Gordon
49
3
0
10 Oct 2020
Goal-directed Generation of Discrete Structures with Conditional
  Generative Models
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Amina Mollaysa
Brooks Paige
Alexandros Kalousis
42
9
0
05 Oct 2020
Neural Proof Nets
Neural Proof Nets
Konstantinos Kogkalidis
M. Moortgat
R. Moot
30
11
0
26 Sep 2020
Target Conditioning for One-to-Many Generation
Target Conditioning for One-to-Many Generation
Marie-Anne Lachaux
Armand Joulin
Guillaume Lample
14
13
0
21 Sep 2020
Text Generation by Learning from Demonstrations
Text Generation by Learning from Demonstrations
Richard Yuanzhe Pang
He He
OffRL
37
80
0
16 Sep 2020
Autoregressive Knowledge Distillation through Imitation Learning
Autoregressive Knowledge Distillation through Imitation Learning
Alexander Lin
Jeremy Wohlwend
Howard Chen
Tao Lei
50
37
0
15 Sep 2020
Global-aware Beam Search for Neural Abstractive Summarization
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma
Zixun Lan
Lu Zong
Kaizhu Huang
33
12
0
15 Sep 2020
Contrastive Triple Extraction with Generative Transformer
Contrastive Triple Extraction with Generative Transformer
Hongbin Ye
Ningyu Zhang
Shumin Deng
Mosha Chen
Chuanqi Tan
Fei Huang
Huajun Chen
24
128
0
14 Sep 2020
Compositional Generalization via Neural-Symbolic Stack Machines
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen
Chen Liang
Adams Wei Yu
D. Song
Denny Zhou
BDL
19
99
0
15 Aug 2020
Future Vector Enhanced LSTM Language Model for LVCSR
Future Vector Enhanced LSTM Language Model for LVCSR
Qi Liu
Y. Qian
Kai Yu
19
2
0
31 Jul 2020
App-Aware Response Synthesis for User Reviews
App-Aware Response Synthesis for User Reviews
Umar Farooq
A.B. Siddique
Fuad Jamour
Zhijia Zhao
Vagelis Hristidis
AAML
17
13
0
31 Jul 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
62
30
0
31 Jul 2020
Towards Ecologically Valid Research on Language User Interfaces
Towards Ecologically Valid Research on Language User Interfaces
H. D. Vries
Dzmitry Bahdanau
Christopher D. Manning
215
51
0
28 Jul 2020
Learning Randomly Perturbed Structured Predictors for Direct Loss
  Minimization
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman
Tamir Hazan
21
8
0
11 Jul 2020
Unsupervised Text Generation by Learning from Search
Unsupervised Text Generation by Learning from Search
Jingjing Li
Zichao Li
Lili Mou
Xin Jiang
Michael R. Lyu
Irwin King
29
55
0
09 Jul 2020
Unsupervised Paraphrasing via Deep Reinforcement Learning
Unsupervised Paraphrasing via Deep Reinforcement Learning
A.B. Siddique
Samet Oymak
Vagelis Hristidis
50
57
0
05 Jul 2020
Learning Optimal Tree Models Under Beam Search
Learning Optimal Tree Models Under Beam Search
Jingwei Zhuo
Xinhang Li
Wei Dai
Ziru Xu
Han Li
Jian Xu
Kun Gai
29
58
0
27 Jun 2020
Implicit Kernel Attention
Implicit Kernel Attention
Kyungwoo Song
Yohan Jung
Dongjun Kim
Il-Chul Moon
16
16
0
11 Jun 2020
Exploring the Vulnerability of Deep Neural Networks: A Study of
  Parameter Corruption
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
Xu Sun
Zhiyuan Zhang
Xuancheng Ren
Ruixuan Luo
Liangyou Li
35
39
0
10 Jun 2020
Fusion Recurrent Neural Network
Fusion Recurrent Neural Network
Yiwen Sun
Yulu Wang
Kun Fu
Zheng Wang
Changshui Zhang
Jieping Ye
18
1
0
07 Jun 2020
MLE-guided parameter search for task loss minimization in neural
  sequence modeling
MLE-guided parameter search for task loss minimization in neural sequence modeling
Sean Welleck
Kyunghyun Cho
23
10
0
04 Jun 2020
Req2Lib: A Semantic Neural Model for Software Library Recommendation
Req2Lib: A Semantic Neural Model for Software Library Recommendation
Zhensu Sun
Yan Liu
Ziming Cheng
Chen Yang
Pengyu Che
11
16
0
24 May 2020
Learning Constraints for Structured Prediction Using Rectifier Networks
Learning Constraints for Structured Prediction Using Rectifier Networks
Xingyuan Pan
Maitrey Mehta
Vivek Srikumar
19
8
0
23 May 2020
Investigating Label Bias in Beam Search for Open-ended Text Generation
Investigating Label Bias in Beam Search for Open-ended Text Generation
Liang Wang
Jinlong Liu
Jingming Liu
34
1
0
22 May 2020
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural
  Machine Translation
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation
Bryan Eikema
Wilker Aziz
16
131
0
20 May 2020
On Exposure Bias, Hallucination and Domain Shift in Neural Machine
  Translation
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
Chaojun Wang
Rico Sennrich
27
157
0
07 May 2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification,
  Question Answering and Summarization
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
Canwen Xu
Jiaxin Pei
Hongtao Wu
Yiyu Liu
Chenliang Li
MLLM
VLM
27
14
0
26 Apr 2020
Neural Approaches for Data Driven Dependency Parsing in Sanskrit
Neural Approaches for Data Driven Dependency Parsing in Sanskrit
Amrith Krishna
Ashim Gupta
Deepak Garasangi
Jivnesh Sandhan
Pavankumar Satuluri
Pawan Goyal
37
6
0
17 Apr 2020
TextGAIL: Generative Adversarial Imitation Learning for Text Generation
TextGAIL: Generative Adversarial Imitation Learning for Text Generation
Qingyang Wu
Lei Li
Zhou Yu
GAN
19
47
0
07 Apr 2020
Character-level Japanese Text Generation with Attention Mechanism for
  Chest Radiography Diagnosis
Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis
Kenya Sakka
Kotaro Nakayama
Nisei Kimura
Taiki Inoue
Yusuke Iwasawa
Ryohei Yamaguchi
Yosimasa Kawazoe
K. Ohe
Y. Matsuo
14
2
0
06 Apr 2020
Gradient-based adversarial attacks on categorical sequence models via
  traversing an embedded world
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world
I. Fursov
Alexey Zaytsev
Nikita Klyuchnikov
A. Kravchenko
Evgeny Burnaev
AAML
SILM
25
11
0
09 Mar 2020
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence
  Lip-Reading
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading
Mingshuang Luo
Shuang Yang
Shiguang Shan
Xilin Chen
34
41
0
09 Mar 2020
Investigating the Decoders of Maximum Likelihood Sequence Models: A
  Look-ahead Approach
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach
Yu-Siang Wang
Yen-Ling Kuo
Boris Katz
39
3
0
08 Mar 2020
Multi-object Tracking via End-to-end Tracklet Searching and Ranking
Multi-object Tracking via End-to-end Tracklet Searching and Ranking
Tao Hu
Lichao Huang
Han Shen
VOT
47
6
0
04 Mar 2020
Discriminative Adversarial Search for Abstractive Summarization
Discriminative Adversarial Search for Abstractive Summarization
Thomas Scialom
Paul-Alexis Dray
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
50
33
0
24 Feb 2020
Guider láttention dans les modeles de sequence a sequence pour la
  prediction des actes de dialogue
Guider láttention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
Pierre Colombo
E. Chapuis
Matteo Manica
Emmanuel Vignon
Giovanna Varni
Chloé Clavel
3DV
41
2
0
21 Feb 2020
Guiding attention in Sequence-to-sequence models for Dialogue Act
  prediction
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
Pierre Colombo
E. Chapuis
Matteo Manica
Emmanuel Vignon
Giovanna Varni
Chloé Clavel
3DV
15
63
0
20 Feb 2020
Multi-layer Representation Fusion for Neural Machine Translation
Multi-layer Representation Fusion for Neural Machine Translation
Qiang Wang
Fuxue Li
Tong Xiao
Yanyang Li
Yinqiao Li
Jingbo Zhu
AI4CE
33
52
0
16 Feb 2020
Differentiable Top-k Operator with Optimal Transport
Differentiable Top-k Operator with Optimal Transport
Yujia Xie
H. Dai
Minshuo Chen
Bo Dai
T. Zhao
H. Zha
Wei Wei
Tomas Pfister
OT
37
27
0
16 Feb 2020
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around
  Decoding and Vocabulary Attention
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention
Xiaoya Li
Yuxian Meng
Arianna Yuan
Fei Wu
Jiwei Li
45
12
0
08 Feb 2020
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