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Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

16 October 2020
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
    OOD
ArXivPDFHTML

Papers citing "Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings"

50 / 55 papers shown
Title
Adaptation Method for Misinformation Identification
Adaptation Method for Misinformation Identification
Yangping Chen
Weijie Shi
Mengze Li
Yue Cui
H. Chen
Jia Zhu
Jiajie Xu
20
0
0
19 Apr 2025
NeuroADDA: Active Discriminative Domain Adaptation in Connectomic
Shashata Sawmya
Thomas L. Athey
Gwyneth Liu
Nir Shavit
58
0
0
08 Mar 2025
Active Learning for Vision-Language Models
Active Learning for Vision-Language Models
Bardia Safaei
Vishal M. Patel
VLM
26
0
0
29 Oct 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
Chrisantus Eze
Christopher Crick
15
0
0
27 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
Siyu Heng
Junyu Luo
Yanxin Shen
Xiao Luo
28
1
0
13 Sep 2024
Learn from the Learnt: Source-Free Active Domain Adaptation via
  Contrastive Sampling and Visual Persistence
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence
Mengyao Lyu
Tianxiang Hao
Xinhao Xu
Hui Chen
Zijia Lin
Jungong Han
Guiguang Ding
VLM
TTA
24
3
0
26 Jul 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
29
0
0
22 Jul 2024
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
Valentin Margraf
Marcel Wever
Sandra Gilhuber
Gabriel Marques Tavares
Thomas Seidl
Eyke Hüllermeier
21
0
0
25 Jun 2024
Camera clustering for scalable stream-based active distillation
Camera clustering for scalable stream-based active distillation
Dani Manjah
Davide Cacciarelli
Christophe De Vleeschouwer
Benoit Macq
20
0
0
16 Apr 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
51
5
0
07 Apr 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
23
0
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
30
0
0
10 Jan 2024
Density Matters: Improved Core-set for Active Domain Adaptive
  Segmentation
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation
Shizhan Liu
Zhengkai Jiang
Yuxi Li
Jinlong Peng
Yabiao Wang
Weiyao Lin
16
0
0
15 Dec 2023
Federated Active Learning for Target Domain Generalisation
Federated Active Learning for Target Domain Generalisation
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
OOD
FedML
11
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
29
0
0
04 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification
Benchmarking Multi-Domain Active Learning on Image Classification
Jiayi Li
Rohan Taori
Tatsunori Hashimoto
VLM
22
0
0
01 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
24
7
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
11
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
21
22
0
22 Oct 2023
How To Overcome Confirmation Bias in Semi-Supervised Image
  Classification By Active Learning
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning
Sandra Gilhuber
Rasmus Hvingelby
Mang Ling Ada Fok
Thomas Seidl
6
1
0
16 Aug 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
25
0
0
26 Jul 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
19
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
41
9
0
19 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
17
4
0
07 Jun 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
19
11
0
08 May 2023
Cluster Entropy: Active Domain Adaptation in Pathological Image
  Segmentation
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation
Xiaoqing Liu
Kengo Araki
S. Harada
Akihiko Yoshizawa
Kazuhiro Terada
Mariyo Rokutan-Kurata
N. Nakajima
Hiroyuki Abe
T. Ushiku
Ryoma Bise
OOD
11
1
0
26 Apr 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
11
3
0
14 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective
  Prediction
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Jinsung Yoon
Sayna Ebrahimi
Sercan Ö. Arik
S. Jha
Tomas Pfister
15
1
0
07 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
27
16
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
13
20
0
27 Feb 2023
Active learning for data streams: a survey
Active learning for data streams: a survey
Davide Cacciarelli
M. Kulahci
8
16
0
17 Feb 2023
Iterative Loop Method Combining Active and Semi-Supervised Learning for
  Domain Adaptive Semantic Segmentation
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
Licong Guan
Xue Yuan
12
6
0
31 Jan 2023
Plug and Play Active Learning for Object Detection
Plug and Play Active Learning for Object Detection
Chenhongyi Yang
Lichao Huang
Elliot J. Crowley
ObjD
12
16
0
21 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
11
6
0
17 Nov 2022
Reducing Annotation Effort by Identifying and Labeling Contextually
  Diverse Classes for Semantic Segmentation Under Domain Shift
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
Sharat Agarwal
Saket Anand
Chetan Arora
4
1
0
13 Oct 2022
Placing Human Animations into 3D Scenes by Learning Interaction- and
  Geometry-Driven Keyframes
Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes
James F. Mullen
D. Kothandaraman
Aniket Bera
Dinesh Manocha
3DH
27
5
0
13 Sep 2022
Local Context-Aware Active Domain Adaptation
Local Context-Aware Active Domain Adaptation
Tao Sun
Cheng Lu
Haibin Ling
10
4
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
12
12
0
13 Aug 2022
Prior Knowledge Guided Unsupervised Domain Adaptation
Prior Knowledge Guided Unsupervised Domain Adaptation
Tao Sun
Cheng Lu
Haibin Ling
19
24
0
18 Jul 2022
Active Source Free Domain Adaptation
Active Source Free Domain Adaptation
Fan Wang
Zhongyi Han
Zhiyan Zhang
Yilong Yin
116
11
0
22 May 2022
Loss-based Sequential Learning for Active Domain Adaptation
Loss-based Sequential Learning for Active Domain Adaptation
Kyeongtak Han
Youngeun Kim
Dongyoon Han
Sungeun Hong
11
0
0
25 Apr 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain Adaptation
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
15
25
0
11 Mar 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
29
8
0
14 Feb 2022
Cost-effective Framework for Gradual Domain Adaptation with
  Multifidelity
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity
Shogo Sagawa
H. Hino
CLL
11
6
0
09 Feb 2022
Burn After Reading: Online Adaptation for Cross-domain Streaming Data
Burn After Reading: Online Adaptation for Cross-domain Streaming Data
Luyu Yang
M. Gao
Zeyuan Chen
Ran Xu
Abhinav Shrivastava
Chetan Ramaiah
13
4
0
08 Dec 2021
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
8
83
0
02 Dec 2021
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D
  Object Detection
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde
Vishal M. Patel
3DPC
19
14
0
30 Nov 2021
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
4
65
0
25 Nov 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception
Bayesian Active Learning for Sim-to-Real Robotic Perception
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
42
13
0
23 Sep 2021
S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active
  Domain Adaptation
S3^33VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani
Arihant Jain
Sumukh K Aithal
R. Venkatesh Babu
TTA
18
23
0
18 Sep 2021
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