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Active Learning for Domain Adaptation: An Energy-Based Approach

Active Learning for Domain Adaptation: An Energy-Based Approach

2 December 2021
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
Guoren Wang
ArXivPDFHTML

Papers citing "Active Learning for Domain Adaptation: An Energy-Based Approach"

44 / 44 papers shown
Title
RAFT: Robust Augmentation of FeaTures for Image Segmentation
RAFT: Robust Augmentation of FeaTures for Image Segmentation
Edward Humes
Xiaomin Lin
Uttej Kallakuri
Tinoosh Mohsenin
39
0
0
07 May 2025
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Xinru Meng
Han Sun
Jiaheng Liu
Ningzhong Liu
Huiyu Zhou
54
0
0
23 Apr 2025
Adaptation Method for Misinformation Identification
Adaptation Method for Misinformation Identification
Yangping Chen
Weijie Shi
Mengze Li
Yue Cui
H. Chen
Jia Zhu
Jiajie Xu
34
0
0
19 Apr 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
Akhil Jalan
Yassir Jedra
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
138
0
0
28 Feb 2025
Integrating Deep Metric Learning with Coreset for Active Learning in 3D
  Segmentation
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
Arvind Murari Vepa
Zukang Yang
Andrew Choi
Jungseock Joo
Fabien Scalzo
Yizhou Sun
3DPC
81
1
0
24 Nov 2024
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain
  Adaptation
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
Yucheng Wang
Peiliang Gong
Min-man Wu
Felix Ott
Xiaoli Li
Lihua Xie
Zhenghua Chen
TTA
43
1
0
29 Sep 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Xiao Luo
43
1
0
13 Sep 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Renhe Jiang
Weiping Ding
Manabu Okumura
44
20
0
01 May 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Shurui Gui
Xiner Li
Shuiwang Ji
TTA
61
11
0
07 Apr 2024
Energy-based Domain-Adaptive Segmentation with Depth Guidance
Energy-based Domain-Adaptive Segmentation with Depth Guidance
Jinjin Zhu
Zhedong Hu
Tae-Kyun Kim
Lin Wang
MDE
30
2
0
06 Feb 2024
Composite Active Learning: Towards Multi-Domain Active Learning with
  Theoretical Guarantees
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Guang-Yuan Hao
Hengguan Huang
Haotian Wang
Jie Gao
Hao Wang
OOD
46
1
0
03 Feb 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain
  Alignment
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
Lin Zhang
Linghan Xu
Saman Motamed
Shayok Chakraborty
Fernando de la Torre
37
4
0
10 Jan 2024
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Zhuohang Dang
Minnan Luo
Chengyou Jia
Guangwen Dai
Xiao Chang
Jingdong Wang
24
6
0
27 Dec 2023
Federated Active Learning for Target Domain Generalisation
Federated Active Learning for Target Domain Generalisation
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
OOD
FedML
32
1
0
04 Dec 2023
Few Clicks Suffice: Active Test-Time Adaptation for Semantic
  Segmentation
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation
Longhui Yuan
Shuangliang Li
Zhuo He
Binhui Xie
TTA
VLM
42
1
0
04 Dec 2023
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
UD
EDL
UQCV
BDL
PER
34
13
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
32
8
0
31 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
46
22
0
22 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
34
22
0
27 Sep 2023
A Comprehensive Review on Financial Explainable AI
A Comprehensive Review on Financial Explainable AI
Wei Jie Yeo
Wihan van der Heever
Rui Mao
Erik Cambria
Ranjan Satapathy
G. Mengaldo
XAI
AI4TS
29
15
0
21 Sep 2023
Source-free Active Domain Adaptation for Diabetic Retinopathy Grading
  Based on Ultra-wide-field Fundus Image
Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus Image
Jinye Ran
Guanghua Zhang
Ximei Zhang
Juan Xie
F. Xia
Hao Zhang
MedIm
17
0
0
19 Sep 2023
Divide and Adapt: Active Domain Adaptation via Customized Learning
Divide and Adapt: Active Domain Adaptation via Customized Learning
Duojun Huang
Jichang Li
Weikai Chen
Jun Steed Huang
Z. Chai
Guanbin Li
42
25
0
21 Jul 2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Luca Franco
Paolo Mandica
Konstantinos Kallidromitis
Devin Guillory
Yu-Teng Li
Trevor Darrell
Fabio Galasso
49
9
0
19 Jun 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta
  Learning
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
Zhenrui Yue
Huimin Zeng
Yang Zhang
Lanyu Shang
Dong Wang
29
17
0
22 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
Fei Wu
Kun Kuang
Jun Xiao
Chao Wu
AI4CE
OOD
45
16
0
08 May 2023
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
Berkcan Ustun
Ahmet Kağan Kaya
Ezgi Cakir Ayerden
Fazil Altinel
26
3
0
14 Apr 2023
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
Jiakang Yuan
Bo-Wen Zhang
Xiangchao Yan
Tao Chen
Botian Shi
Yikang Li
Yu Qiao
45
24
0
10 Mar 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
38
29
0
27 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
H. Shen
TTA
29
94
0
23 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization
Energy-Based Test Sample Adaptation for Domain Generalization
Zehao Xiao
Xiantong Zhen
Tianran Ouyang
Cees G. M. Snoek
TTA
48
17
0
22 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
23
5
0
11 Feb 2023
Consistent Training via Energy-Based GFlowNets for Modeling Discrete
  Joint Distributions
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
C. Ekbote
Moksh Jain
Payel Das
Yoshua Bengio
40
4
0
01 Nov 2022
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness
  on Fair Clustering
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
R. Fajri
A. Saxena
Yulong Pei
Mykola Pechenizkiy
FaML
31
2
0
21 Sep 2022
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Lianyu Wang
Meng Wang
Daoqiang Zhang
Huazhu Fu
21
2
0
05 Sep 2022
Local Context-Aware Active Domain Adaptation
Local Context-Aware Active Domain Adaptation
Tao Sun
Cheng Lu
Haibin Ling
36
8
0
26 Aug 2022
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
27
18
0
13 Aug 2022
Prior Knowledge Guided Unsupervised Domain Adaptation
Prior Knowledge Guided Unsupervised Domain Adaptation
Tao Sun
Cheng Lu
Haibin Ling
33
31
0
18 Jul 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
29
1
0
23 May 2022
Active Source Free Domain Adaptation
Active Source Free Domain Adaptation
Fan Wang
Zhongyi Han
Zhiyan Zhang
Yilong Yin
149
11
0
22 May 2022
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic
  Segmentation
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
Binhui Xie
Shuang Li
Mingjiang Li
Chi Harold Liu
Gao Huang
Guoren Wang
32
146
0
19 Apr 2022
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic
  Segmentation
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation
Tsung-Han Wu
Yi-Syuan Liou
Shaojie Yuan
Hsin-Ying Lee
Tung-I Chen
Kuan-Chih Huang
Winston H. Hsu
45
9
0
14 Feb 2022
Towards Fewer Annotations: Active Learning via Region Impurity and
  Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
UQCV
34
89
0
25 Nov 2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via
  Semantic Prototype-based Contrastive Learning
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
Binhui Xie
Kejia Yin
Shuang Li
23
11
0
24 Nov 2021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
106
124
0
16 Oct 2020
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