ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.05446
  4. Cited By
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration

Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration

12 July 2021
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
    TTA
ArXivPDFHTML

Papers citing "Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration"

43 / 43 papers shown
Title
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
Sohyun Lee
N. Kim
Juwon Kang
Seong Joon Oh
Suha Kwak
87
0
0
07 Apr 2025
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Bharadwaj Ravichandran
Alexander Lynch
S. Brockman
Brandon RichardWebster
Dawei Du
A. Hoogs
Christopher Funk
ObjD
VLM
68
0
0
20 Dec 2024
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shinýa Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
37
0
0
04 Oct 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic
  Online Data Streams
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang
Zhixiang Chi
Yanan Wu
Li Gu
Zhi Liu
Konstantinos Plataniotis
Yang Wang
OOD
TTA
42
2
0
16 Jul 2024
DALLMi: Domain Adaption for LLM-based Multi-label Classifier
DALLMi: Domain Adaption for LLM-based Multi-label Classifier
Miruna Betianu
Abele Malan
Marco Aldinucci
Robert Birke
Lydia Y. Chen
38
5
0
03 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
59
11
0
07 Apr 2024
Test-Time Model Adaptation with Only Forward Passes
Test-Time Model Adaptation with Only Forward Passes
Shuaicheng Niu
Chunyan Miao
Guohao Chen
Pengcheng Wu
Peilin Zhao
TTA
38
18
0
02 Apr 2024
AutoFT: Learning an Objective for Robust Fine-Tuning
AutoFT: Learning an Objective for Robust Fine-Tuning
Caroline Choi
Yoonho Lee
Annie S. Chen
Allan Zhou
Aditi Raghunathan
Chelsea Finn
OOD
42
0
0
18 Jan 2024
Target-agnostic Source-free Domain Adaptation for Regression Tasks
Target-agnostic Source-free Domain Adaptation for Regression Tasks
Tianlang He
Zhiqiu Xia
Jierun Chen
Haoliang Li
S.-H. Gary Chan
36
4
0
01 Dec 2023
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for
  Generalizing Person ReID
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID
Qilei Li
Shaogang Gong
24
4
0
24 Oct 2023
SODA: Robust Training of Test-Time Data Adaptors
SODA: Robust Training of Test-Time Data Adaptors
Zige Wang
Yonggang Zhang
Zhen Fang
Long Lan
Wenjing Yang
Bo Han
19
2
0
17 Oct 2023
SIDE: Self-supervised Intermediate Domain Exploration for Source-free
  Domain Adaptation
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation
Jiamei Liu
Han Sun
Yizhen Jia
Jie Qin
Huiyu Zhou
Ningzhong Liu
TTA
32
0
0
13 Oct 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt Adaptation
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
43
6
0
26 Sep 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
28
11
0
01 Sep 2023
Consistency Regularization for Generalizable Source-free Domain
  Adaptation
Consistency Regularization for Generalizable Source-free Domain Adaptation
Longxiang Tang
Kai Li
Chunming He
Yulun Zhang
Xiu Li
TTA
30
15
0
03 Aug 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to
  Harness Spurious Features
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Cian Eastwood
Shashank Singh
Andrei Liviu Nicolicioiu
Marin Vlastelica
Julius von Kügelgen
Bernhard Schölkopf
OOD
10
17
0
19 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDL
OOD
30
1
0
08 Jul 2023
Modularity Trumps Invariance for Compositional Robustness
Modularity Trumps Invariance for Compositional Robustness
I. Mason
Anirban Sarkar
Tomotake Sasaki
Xavier Boix
OOD
19
1
0
15 Jun 2023
Partial Identifiability for Domain Adaptation
Partial Identifiability for Domain Adaptation
Lingjing Kong
Shaoan Xie
Weiran Yao
Yujia Zheng
Guan-Hong Chen
P. Stojanov
Victor Akinwande
Kun Zhang
48
8
0
10 Jun 2023
On Pitfalls of Test-Time Adaptation
On Pitfalls of Test-Time Adaptation
Hao Zhao
Yuejiang Liu
Alexandre Alahi
Tao R. Lin
TTA
29
39
0
06 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph
  Out-of-Distribution Generalization
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CML
OOD
23
24
0
01 Jun 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
29
202
0
27 Mar 2023
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Haozhi Cao
Yuecong Xu
Jianfei Yang
Pengyu Yin
Shenghai Yuan
Lihua Xie
TTA
30
18
0
18 Mar 2023
Deephys: Deep Electrophysiology, Debugging Neural Networks under
  Distribution Shifts
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts
Anirban Sarkar
Matthew Groth
I. Mason
Tomotake Sasaki
Xavier Boix
11
1
0
17 Mar 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Devavrat Tomar
Guillaume Vray
Behzad Bozorgtabar
Jean-Philippe Thiran
TTA
20
32
0
17 Mar 2023
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free
  Domain Adaptive Keypoint Detection
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
Yuhe Ding
Jian Liang
Bo Jiang
A. Zheng
R. He
3DPC
8
8
0
09 Feb 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
130
90
0
31 Dec 2022
ActMAD: Activation Matching to Align Distributions for
  Test-Time-Training
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
M. Jehanzeb Mirza
Pol Jané Soneira
W. Lin
Mateusz Koziñski
Horst Possegger
Horst Bischof
VLM
TTA
31
24
0
23 Nov 2022
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical
  Image Segmentation
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation
Shishuai Hu
Zehui Liao
Yong-quan Xia
OOD
MedIm
20
21
0
21 Nov 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee
Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
Percy Liang
Chelsea Finn
OOD
51
197
0
20 Oct 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for
  Test-Time Adaptation
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
Jun-Kun Wang
Andre Wibisono
27
7
0
18 Oct 2022
Probable Domain Generalization via Quantile Risk Minimization
Probable Domain Generalization via Quantile Risk Minimization
Cian Eastwood
Alexander Robey
Shashank Singh
Julius von Kügelgen
Hamed Hassani
George J. Pappas
Bernhard Schölkopf
OOD
27
61
0
20 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
M-U Jang
Sae-Young Chung
Hye Won Chung
OOD
TTA
33
56
0
08 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation
Back to the Source: Diffusion-Driven Test-Time Adaptation
Jin Gao
Jialing Zhang
Xihui Liu
Trevor Darrell
Evan Shelhamer
Dequan Wang
TTA
11
50
0
07 Jul 2022
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su
Xun Xu
K. Jia
TTA
OOD
18
45
0
06 Jun 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
Sanghun Jung
Jungsoo Lee
Nanhee Kim
Amirreza Shaban
Byron Boots
Jaegul Choo
OOD
TTA
14
17
0
01 Jun 2022
A Field of Experts Prior for Adapting Neural Networks at Test Time
A Field of Experts Prior for Adapting Neural Networks at Test Time
Neerav Karani
G. Brunner
Ertunc Erdil
Simin Fei
K. Tezcan
K. Chaitanya
E. Konukoglu
OOD
13
2
0
10 Feb 2022
Real-Time Style Modelling of Human Locomotion via Feature-Wise
  Transformations and Local Motion Phases
Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases
I. Mason
Sebastian Starke
Taku Komura
3DH
34
47
0
12 Jan 2022
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
27
48
0
31 Dec 2021
Towards Data-Free Domain Generalization
Towards Data-Free Domain Generalization
A. Frikha
Haokun Chen
Denis Krompass
Thomas Runkler
Volker Tresp
OOD
36
14
0
09 Oct 2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without
  Source Data
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Ning Ma
Jiajun Bu
Zhen Zhang
Sheng Zhou
TTA
16
13
0
14 Jul 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
OOD
TTA
77
29
0
27 Apr 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
147
150
0
17 Feb 2021
1