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Domain Divergences: a Survey and Empirical Analysis
v1v2 (latest)

Domain Divergences: a Survey and Empirical Analysis

23 October 2020
Abhinav Ramesh Kashyap
Devamanyu Hazarika
Min-Yen Kan
Roger Zimmermann
ArXiv (abs)PDFHTML

Papers citing "Domain Divergences: a Survey and Empirical Analysis"

45 / 45 papers shown
Title
Transformer Based Multi-Source Domain Adaptation
Transformer Based Multi-Source Domain Adaptation
Dustin Wright
Isabelle Augenstein
69
53
0
16 Sep 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant
  Representations
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
OOD
38
63
0
06 Jul 2020
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized
  Embedding Models
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models
Eyal Ben-David
Carmel Rabinovitz
Roi Reichart
SSL
99
62
0
16 Jun 2020
Neural Unsupervised Domain Adaptation in NLP---A Survey
Neural Unsupervised Domain Adaptation in NLP---A Survey
Alan Ramponi
Barbara Plank
OOD
102
259
0
31 May 2020
Predicting Performance for Natural Language Processing Tasks
Predicting Performance for Natural Language Processing Tasks
Mengzhou Xia
Antonios Anastasopoulos
Ruochen Xu
Yiming Yang
Graham Neubig
77
60
0
02 May 2020
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis
Deepanway Ghosal
Devamanyu Hazarika
Abhinaba Roy
Navonil Majumder
Rada Mihalcea
Soujanya Poria
70
68
0
02 May 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLMAI4CECLL
155
2,428
0
23 Apr 2020
Unsupervised Domain Clusters in Pretrained Language Models
Unsupervised Domain Clusters in Pretrained Language Models
Roee Aharoni
Yoav Goldberg
94
249
0
05 Apr 2020
Multi-Source Domain Adaptation for Text Classification via
  DistanceNet-Bandits
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
61
114
0
13 Jan 2020
Go From the General to the Particular: Multi-Domain Translation with
  Domain Transformation Networks
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
Yong Wang
Longyue Wang
Shuming Shi
Victor O.K. Li
Zhaopeng Tu
42
25
0
22 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
234
7,520
0
02 Oct 2019
A Constructive Prediction of the Generalization Error Across Scales
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld
Amir Rosenfeld
Yonatan Belinkov
Nir Shavit
101
211
0
27 Sep 2019
Dual Adversarial Co-Learning for Multi-Domain Text Classification
Dual Adversarial Co-Learning for Multi-Domain Text Classification
Yuan Wu
Yuhong Guo
48
25
0
18 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
665
24,464
0
26 Jul 2019
Improving Domain Adaptation Translation with Domain Invariant and
  Specific Information
Improving Domain Adaptation Translation with Domain Invariant and Specific Information
Shuhao Gu
Yang Feng
Qun Liu
43
38
0
08 Apr 2019
Using Similarity Measures to Select Pretraining Data for NER
Using Similarity Measures to Select Pretraining Data for NER
Xiang Dai
Sarvnaz Karimi
Ben Hachey
Cécile Paris
56
50
0
01 Apr 2019
Adversarial Domain Adaptation for Stance Detection
Adversarial Domain Adaptation for Stance Detection
Brian Xu
Mitra Mohtarami
James R. Glass
32
35
0
06 Feb 2019
Interpolating between Optimal Transport and MMD using Sinkhorn
  Divergences
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy
Thibault Séjourné
François-Xavier Vialard
S. Amari
A. Trouvé
Gabriel Peyré
OT
61
528
0
18 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Multi-Source Domain Adaptation with Mixture of Experts
Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo
Darsh J. Shah
Regina Barzilay
43
179
0
07 Sep 2018
Adversarial Domain Adaptation for Duplicate Question Detection
Adversarial Domain Adaptation for Duplicate Question Detection
Darsh J. Shah
Tao Lei
Alessandro Moschitti
Salvatore Romeo
Preslav Nakov
75
76
0
07 Sep 2018
A Survey of Domain Adaptation for Neural Machine Translation
A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu
Rui Wang
AI4CE
80
263
0
01 Jun 2018
What's in a Domain? Learning Domain-Robust Text Representations using
  Adversarial Training
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Yitong Li
Timothy Baldwin
Trevor Cohn
OOD
47
48
0
16 May 2018
Label-aware Double Transfer Learning for Cross-Specialty Medical Named
  Entity Recognition
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
Zhenghui Wang
Yanru Qu
Liheng Chen
Jian Shen
Weinan Zhang
Shaodian Zhang
Yimei Gao
Gen Gu
Ken Chen
Yong Yu
64
64
0
24 Apr 2018
Identifying Semantic Divergences in Parallel Text without Annotations
Identifying Semantic Divergences in Parallel Text without Annotations
Yogarshi Vyas
Xing Niu
Marine Carpuat
68
36
0
29 Mar 2018
Multinomial Adversarial Networks for Multi-Domain Text Classification
Multinomial Adversarial Networks for Multi-Domain Text Classification
Xilun Chen
Claire Cardie
OOD
45
133
0
15 Feb 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
214
11,556
0
15 Feb 2018
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Michihiro Yasunaga
Jungo Kasai
Dragomir R. Radev
53
104
0
14 Nov 2017
Dynamic Data Selection for Neural Machine Translation
Dynamic Data Selection for Neural Machine Translation
M. V. D. Wees
Arianna Bisazza
Christof Monz
93
154
0
02 Aug 2017
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
121
909
0
01 Aug 2017
Learning to select data for transfer learning with Bayesian Optimization
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder
Barbara Plank
77
185
0
17 Jul 2017
Adversarial Multi-task Learning for Text Classification
Adversarial Multi-task Learning for Text Classification
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
136
612
0
19 Apr 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation
  Learning
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
Werner Zellinger
Thomas Grubinger
E. Lughofer
T. Natschläger
Susanne Saminger-Platz
OOD
105
575
0
28 Feb 2017
Data Selection Strategies for Multi-Domain Sentiment Analysis
Data Selection Strategies for Multi-Domain Sentiment Analysis
Sebastian Ruder
Parsa Ghaffari
J. Breslin
43
28
0
08 Feb 2017
Correlation Alignment for Unsupervised Domain Adaptation
Correlation Alignment for Unsupervised Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
47
401
0
06 Dec 2016
Neural Structural Correspondence Learning for Domain Adaptation
Neural Structural Correspondence Learning for Domain Adaptation
Yftah Ziser
Roi Reichart
DRL
69
107
0
05 Oct 2016
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
109
1,450
0
22 Aug 2016
Unsupervised Risk Estimation Using Only Conditional Independence
  Structure
Unsupervised Risk Estimation Using Only Conditional Independence Structure
Jacob Steinhardt
Percy Liang
81
34
0
16 Jun 2016
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment
  Classification
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
Xilun Chen
Yu Sun
Ben Athiwaratkun
Claire Cardie
Kilian Q. Weinberger
265
316
0
06 Jun 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
378
9,497
0
28 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
172
2,601
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
397
33,550
0
16 Oct 2013
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
231
2,363
0
15 May 2008
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