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Discrepancy-Based Active Learning for Domain Adaptation
v1v2v3 (latest)

Discrepancy-Based Active Learning for Domain Adaptation

5 March 2021
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
ArXiv (abs)PDFHTML

Papers citing "Discrepancy-Based Active Learning for Domain Adaptation"

15 / 15 papers shown
Title
Certainty and Uncertainty Guided Active Domain Adaptation
Certainty and Uncertainty Guided Active Domain Adaptation
Bardia Safaei
Vibashan Vs
Vishal M. Patel
TTA
47
0
0
26 May 2025
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
Helia Mohamadi
Mohammad Ali Keyvanrad
Mohammad Reza Mohammadi
96
0
0
23 Dec 2024
Evidential Uncertainty Quantification: A Variance-Based Perspective
Evidential Uncertainty Quantification: A Variance-Based Perspective
Ruxiao Duan
B. Caffo
Harrison X. Bai
Haris I. Sair
Craig K. Jones
UDEDLUQCVBDLPER
95
14
0
19 Nov 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Binhui Xie
Shuang Li
Qingju Guo
Chi Harold Liu
Xinjing Cheng
VLM
101
9
0
31 Oct 2023
Differentially Private Domain Adaptation with Theoretical Guarantees
Differentially Private Domain Adaptation with Theoretical Guarantees
Raef Bassily
Corinna Cortes
Anqi Mao
M. Mohri
60
0
0
15 Jun 2023
Accelerating Batch Active Learning Using Continual Learning Techniques
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav M. Das
Gantavya Bhatt
M. Bhalerao
Vianne R. Gao
Rui Yang
J. Bilmes
VLMCLL
68
10
0
10 May 2023
Best-Effort Adaptation
Best-Effort Adaptation
Pranjal Awasthi
Corinna Cortes
M. Mohri
86
8
0
10 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks
Generalized Universal Domain Adaptation with Generative Flow Networks
Didi Zhu
Yinchuan Li
Yunfeng Shao
Jianye Hao
Leilei Gan
Kun Kuang
Jun Xiao
Chao Wu
AI4CEOOD
96
19
0
08 May 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Mixue Xie
Shuang Li
Rui Zhang
Chi Harold Liu
UQCV
84
29
0
27 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
72
5
0
11 Feb 2023
Combating Label Distribution Shift for Active Domain Adaptation
Combating Label Distribution Shift for Active Domain Adaptation
S. Hwang
Sohyun Lee
Sungyeon Kim
Jungseul Ok
Suha Kwak
70
20
0
13 Aug 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
48
3
0
04 Jul 2022
Active Source Free Domain Adaptation
Active Source Free Domain Adaptation
Fan Wang
Zhongyi Han
Zhiyan Zhang
Yilong Yin
200
12
0
22 May 2022
Cost-effective Framework for Gradual Domain Adaptation with
  Multifidelity
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity
Shogo Sagawa
H. Hino
CLL
61
6
0
09 Feb 2022
Active Learning for Domain Adaptation: An Energy-Based Approach
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
Guoren Wang
100
115
0
02 Dec 2021
1