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Multi-Source Domain Adaptation for Text Classification via
  DistanceNet-Bandits
v1v2v3 (latest)

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits

AAAI Conference on Artificial Intelligence (AAAI), 2020
13 January 2020
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
ArXiv (abs)PDFHTML

Papers citing "Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits"

37 / 37 papers shown
GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
Lixian Zhang
Peifeng Zhang
Yibin Wen
Qingmei Li
Yang Zhang
Haohuan Fu
159
0
0
25 Oct 2025
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
497
1
0
13 Jun 2024
Domain adaptation in small-scale and heterogeneous biological datasets
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji
Martin C. Liu
T. Korem
Megan A. K. Peters
218
38
0
29 May 2024
UniGen: Universal Domain Generalization for Sentiment Classification via
  Zero-shot Dataset Generation
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi
Yeonghwa Kim
Seunguk Yu
Jungmin Yun
Youngbin Kim
270
11
0
02 May 2024
More is Better: Deep Domain Adaptation with Multiple Sources
More is Better: Deep Domain Adaptation with Multiple Sources
Sicheng Zhao
Hui Chen
Hu Huang
Pengfei Xu
Guiguang Ding
300
13
0
01 May 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
541
7
0
31 Jan 2024
Efficient Multi-domain Text Recognition Deep Neural Network
  Parameterization with Residual Adapters
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual AdaptersAdvances in Artificial Intelligence and Machine Learning (AAIML), 2024
Jiayou Chao
Wei Zhu
202
0
0
01 Jan 2024
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate
  Time-Series Unsupervised Domain Adaptation
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
Yucheng Wang
Yuecong Xu
Jianfei Yang
Ruibing Jin
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
298
1
0
17 Nov 2023
Robust Stance Detection: Understanding Public Perceptions in Social
  Media
Robust Stance Detection: Understanding Public Perceptions in Social MediaInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2023
Nayoung Kim
David Mosallanezhad
Lu Cheng
M. Mancenido
Huan Liu
389
2
0
26 Sep 2023
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Long-Yu Liu
Bo Zhou
Zhipeng Zhao
Zening Liu
381
0
0
26 Jul 2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive
  Question Answering
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Hai Ye
Qizhe Xie
Hwee Tou Ng
283
8
0
11 Jun 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Yongfeng Zhang
Jennifer Foster
Yue Zhang
OOD
355
3
0
23 May 2023
A Data-centric Framework for Improving Domain-specific Machine Reading
  Comprehension Datasets
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension DatasetsFirst Workshop on Insights from Negative Results in NLP (Insights), 2023
I. Bojić
Josef Halim
Verena Suharman
Sreeja Tar
Qi Chwen Ong
Duy Phung
Mathieu Ravaut
Shafiq Joty
Josip Car
FedML
381
4
0
02 Apr 2023
Learning for Amalgamation: A Multi-Source Transfer Learning Framework
  For Sentiment Classification
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment ClassificationInformation Sciences (Inf. Sci.), 2022
Cuong V. Nguyen
Khiem H. Le
Anh Tran
Quang Pham
Binh T. Nguyen
259
14
0
16 Mar 2023
Distributionally Robust Domain Adaptation
Distributionally Robust Domain AdaptationInternational Workshop on Machine Learning for Signal Processing (MLSP), 2022
Akram S. Awad
George Atia
TTAOOD
150
3
0
30 Oct 2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionEuropean Conference on Computer Vision (ECCV), 2022
Yipeng Gao
Lingxiao Yang
Yunmu Huang
Song Xie
Shiyong Li
Weihao Zheng
ObjD
256
39
0
22 Sep 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Domain Confused Contrastive Learning for Unsupervised Domain AdaptationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Quanyu Long
Tianze Luo
Wenya Wang
Sinno Jialin Pan
321
9
0
10 Jul 2022
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Weikai Li
Meng Cao
Songcan Chen
234
8
0
07 Apr 2022
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain
  Adaptation
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Maohao Shen
Yuheng Bu
Greg Wornell
641
22
0
01 Feb 2022
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and
  Paired Classifiers
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2022
Payam Karisani
221
6
0
28 Jan 2022
Anomaly Detection in IR Images of PV Modules using Supervised
  Contrastive Learning
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningProgress in Photovoltaics (Prog. Photovolt.), 2021
Lukas Bommes
M. Hoffmann
C. Buerhop‐Lutz
Tobias Pickel
J. Hauch
Christoph J. Brabec
Andreas Maier
I. M. Peters
306
46
0
06 Dec 2021
Can Explanations Be Useful for Calibrating Black Box Models?
Can Explanations Be Useful for Calibrating Black Box Models?
Xi Ye
Greg Durrett
FAtt
309
29
0
14 Oct 2021
Domain Adaptation for Sentiment Analysis Using Increased Intraclass
  Separation
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation
Mohammad Rostami
Aram Galstyan
170
10
0
04 Jul 2021
Secure Domain Adaptation with Multiple Sources
Secure Domain Adaptation with Multiple Sources
Serban Stan
Mohammad Rostami
215
14
0
23 Jun 2021
Hidden Biases in Unreliable News Detection Datasets
Hidden Biases in Unreliable News Detection DatasetsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Xiang Zhou
Heba Elfardy
Christos Christodoulopoulos
Thomas Butler
Joey Tianyi Zhou
160
19
0
20 Apr 2021
UDALM: Unsupervised Domain Adaptation through Language Modeling
UDALM: Unsupervised Domain Adaptation through Language ModelingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Constantinos F. Karouzos
Georgios Paraskevopoulos
Alexandros Potamianos
302
63
0
14 Apr 2021
Task Aligned Generative Meta-learning for Zero-shot Learning
Task Aligned Generative Meta-learning for Zero-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Zhe Liu
Yun Yvonna Li
Lina Yao
Xianzhi Wang
Guodong Long
VLM
233
44
0
03 Mar 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing
Domain Adaptation for Time Series Forecasting via Attention SharingInternational Conference on Machine Learning (ICML), 2021
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
TTAOODAI4TS
898
114
0
13 Feb 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain
  Adaptation Approaches?
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?AAAI Conference on Artificial Intelligence (AAAI), 2020
Zhong Li
Zhen Fang
Yifan Zhang
Jie Lu
Bo Yuan
Guangquan Zhang
384
56
0
30 Dec 2020
Computer-aided abnormality detection in chest radiographs in a clinical
  setting via domain-adaptation
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptationBioimaging (Bristol. Print) (BBP), 2020
A. Dubey
M. T. Young
Christopher Stanley
D. Lunga
Jacob D. Hinkle
OOD
240
5
0
19 Dec 2020
Domain Divergences: a Survey and Empirical Analysis
Domain Divergences: a Survey and Empirical AnalysisNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020
Abhinav Ramesh Kashyap
Devamanyu Hazarika
Min-Yen Kan
Roger Zimmermann
522
44
0
23 Oct 2020
Factorized Deep Generative Models for Trajectory Generation with
  Spatiotemporal-Validity Constraints
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints
Liming Zhang
Bo Pan
Dieter Pfoser
178
3
0
20 Sep 2020
Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With
  Jensen-Shannon Divergence
Beyond H\mathcal{H}H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
Changjian Shui
Qi Chen
Jun Wen
Fan Zhou
Christian Gagné
Boyu Wang
240
24
0
30 Jul 2020
Neural Unsupervised Domain Adaptation in NLP---A Survey
Neural Unsupervised Domain Adaptation in NLP---A SurveyInternational Conference on Computational Linguistics (COLING), 2020
Alan Ramponi
Barbara Plank
OOD
489
288
0
31 May 2020
Multi-source Attention for Unsupervised Domain Adaptation
Multi-source Attention for Unsupervised Domain Adaptation
Xia Cui
Danushka Bollegala
207
11
0
14 Apr 2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic
  Survey
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
Sicheng Zhao
Yue Liu
Colorado Reed
Pengfei Xu
Kurt Keutzer
262
121
0
26 Feb 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.5K
5,165
0
17 Feb 2017
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