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

13 January 2020

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

35 / 35 papers shown

Title
Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang Hao Wang Hao Wang 50 0 0 13 Jun 2024
Domain adaptation in small-scale and heterogeneous biological datasets Seyedmehdi Orouji Martin C. Liu T. Korem Megan A. K. Peters 21 7 0 29 May 2024
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation Juhwan Choi Yeonghwa Kim Seunguk Yu Jungmin Yun Youngbin Kim 39 1 0 02 May 2024
More is Better: Deep Domain Adaptation with Multiple Sources Sicheng Zhao Hui Chen Hu Huang Pengfei Xu Guiguang Ding 27 5 0 01 May 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? Rheeya Uppaal Yixuan Li Junjie Hu 34 4 0 31 Jan 2024
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters Jiayou Chao Wei Zhu 29 0 0 01 Jan 2024
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation Yucheng Wang Yuecong Xu Jianfei Yang Min-man Wu Xiaoli Li Lihua Xie Zhenghua Chen AI4TS 21 0 0 17 Nov 2023
Robust Stance Detection: Understanding Public Perceptions in Social Media Nayoung Kim David Mosallanezhad Lu Cheng M. Mancenido Huan Liu 11 1 0 26 Sep 2023
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation Long-Yu Liu Bo Zhou Zhipeng Zhao Zening Liu 30 0 0 26 Jul 2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering Hai Ye Qizhe Xie Hwee Tou Ng 40 8 0 11 Jun 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 32 2 0 23 May 2023
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets I. Bojić Josef Halim Verena Suharman Sreeja Tar Qi Chwen Ong Duy Phung Mathieu Ravaut Shafiq R. Joty Josip Car FedML 24 3 0 02 Apr 2023
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification Cuong V. Nguyen Khiem H. Le Anh Tran Quang-Cuong Pham Binh T. Nguyen 15 14 0 16 Mar 2023
Distributionally Robust Domain Adaptation Akram S. Awad George K. Atia TTA OOD 14 2 0 30 Oct 2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection Yipeng Gao Lingxiao Yang Yunmu Huang Song Xie Shiyong Li Weihao Zheng ObjD 48 26 0 22 Sep 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation Quanyu Long Tianze Luo Wenya Wang Sinno Jialin Pan 49 8 0 10 Jul 2022
Jacobian Norm for Unsupervised Source-Free Domain Adaptation Weikai Li Meng Cao Songcan Chen 22 7 0 07 Apr 2022
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation Maohao Shen Yuheng Bu Greg Wornell 127 14 0 01 Feb 2022
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers Payam Karisani 16 5 0 28 Jan 2022
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning Lukas Bommes M. Hoffmann C. Buerhop‐Lutz Tobias Pickel J. Hauch Christoph J. Brabec Andreas K. Maier I. M. Peters 10 31 0 06 Dec 2021
Can Explanations Be Useful for Calibrating Black Box Models? Xi Ye Greg Durrett FAtt 21 25 0 14 Oct 2021
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation Mohammad Rostami Aram Galstyan 11 8 0 04 Jul 2021
Secure Domain Adaptation with Multiple Sources Serban Stan Mohammad Rostami 25 13 0 23 Jun 2021
Hidden Biases in Unreliable News Detection Datasets Xiang Zhou Heba Elfardy Christos Christodoulopoulos Thomas Butler Mohit Bansal 11 15 0 20 Apr 2021
UDALM: Unsupervised Domain Adaptation through Language Modeling Constantinos F. Karouzos Georgios Paraskevopoulos Alexandros Potamianos 17 56 0 14 Apr 2021
Task Aligned Generative Meta-learning for Zero-shot Learning Zhe Liu Yun Yvonna Li Lina Yao Xianzhi Wang Guodong Long VLM 24 36 0 03 Mar 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin Youngsuk Park Danielle C. Maddix Bernie Wang Xifeng Yan TTA OOD AI4TS 96 75 0 13 Feb 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li Zhen Fang Feng Liu Jie Lu Bo Yuan Guangquan Zhang 20 54 0 30 Dec 2020
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation A. Dubey M. T. Young Christopher Stanley D. Lunga Jacob D. Hinkle OOD 21 5 0 19 Dec 2020
Domain Divergences: a Survey and Empirical Analysis Abhinav Ramesh Kashyap Devamanyu Hazarika Min-Yen Kan Roger Zimmermann 165 37 0 23 Oct 2020
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints Liming Zhang Liang Zhao Dieter Pfoser 8 3 0 20 Sep 2020
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 35 22 0 30 Jul 2020
Neural Unsupervised Domain Adaptation in NLP---A Survey Alan Ramponi Barbara Plank OOD 16 255 0 31 May 2020
Multi-source Attention for Unsupervised Domain Adaptation Xia Cui Danushka Bollegala 18 9 0 14 Apr 2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey Sicheng Zhao Bo-wen Li Colorado Reed Pengfei Xu Kurt Keutzer 16 103 0 26 Feb 2020