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Understanding Self-Training for Gradual Domain Adaptation

Understanding Self-Training for Gradual Domain Adaptation

26 February 2020
Ananya Kumar
Tengyu Ma
Percy Liang
    CLL
    TTA
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Papers citing "Understanding Self-Training for Gradual Domain Adaptation"

50 / 132 papers shown
Title
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
Alexander Koebler
Thomas Decker
Ingo Thon
Volker Tresp
Florian Buettner
19
0
0
11 May 2025
Domain Adaptation and Entanglement: an Optimal Transport Perspective
Okan Koç
Alexander Soen
Chao-Kai Chiang
Masashi Sugiyama
OOD
AAML
62
0
0
11 Mar 2025
GDO: Gradual Domain Osmosis
GDO: Gradual Domain Osmosis
Zixi Wang
Yubo Huang
133
0
0
31 Jan 2025
Gradual Domain Adaptation for Graph Learning
Gradual Domain Adaptation for Graph Learning
Pui Ieng Lei
Ximing Chen
Yijun Sheng
Yanyan Liu
J. Guo
Zhiguo Gong
OOD
41
0
0
29 Jan 2025
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Alexey Rukhovich
Alexander Podolskiy
Irina Piontkovskaya
43
0
0
28 Jan 2025
Towards Understanding the Role of Sharpness-Aware Minimization
  Algorithms for Out-of-Distribution Generalization
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization
Samuel Schapiro
Han Zhao
71
0
0
06 Dec 2024
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised
  Domain Adaptation
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
Yao Ma
Samuel Louvan
Z. Wang
23
0
0
11 Nov 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally
  Robust Optimization
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
Amir Saberi
Amir Najafi
Ala Emrani
Amin Behjati
Yasaman Zolfimoselo
Mahdi Shadrooy
Abolfazl Motahari
B. Khalaj
26
0
0
17 Oct 2024
Semi-Supervised Reward Modeling via Iterative Self-Training
Semi-Supervised Reward Modeling via Iterative Self-Training
Yifei He
Haoxiang Wang
Ziyan Jiang
Alexandros Papangelis
Han Zhao
OffRL
31
2
0
10 Sep 2024
Out-of-Distribution Learning with Human Feedback
Out-of-Distribution Learning with Human Feedback
Haoyue Bai
Xuefeng Du
Katie Rainey
Shibin Parameswaran
Yixuan Li
OODD
16
3
0
14 Aug 2024
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a
  Final Time Point
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point
Christina X. Ji
Ahmed M. Alaa
David Sontag
OOD
42
0
0
12 Jul 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Lizhen Qu
Chris Bain
R. Bassed
Gholamreza Haffari
CML
OOD
43
2
0
18 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
46
1
0
17 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
21
19
0
25 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
38
1
0
10 May 2024
FAIRM: Learning invariant representations for algorithmic fairness and
  domain generalization with minimax optimality
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
Sai Li
Linjun Zhang
OOD
FaML
64
1
0
02 Apr 2024
Bridging Domains with Approximately Shared Features
Bridging Domains with Approximately Shared Features
Ziliang Samuel Zhong
Xiang Pan
Qi Lei
OOD
26
1
0
11 Mar 2024
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in
  Images and Videos
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri
Bodhisattwa Prasad Majumder
Manmohan Chandraker
VLM
29
4
0
08 Mar 2024
Enhancing Continuous Domain Adaptation with Multi-Path Transfer
  Curriculum
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum
Hanbing Liu
Junchang Wang
Xuan Zhang
Ye Guo
Yang Li
24
2
0
26 Feb 2024
Generalizing across Temporal Domains with Koopman Operators
Generalizing across Temporal Domains with Koopman Operators
Qiuhao Zeng
Wei Wang
Fan Zhou
Gezheng Xu
Ruizhi Pu
Changjian Shui
Christian Gagné
Shichun Yang
Boyu Wang
Charles X. Ling
OOD
AI4CE
16
6
0
12 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
8
2
0
05 Feb 2024
MORPH: Towards Automated Concept Drift Adaptation for Malware Detection
MORPH: Towards Automated Concept Drift Adaptation for Malware Detection
Md Tanvirul Alam
Romy Fieblinger
Ashim Mahara
Nidhi Rastogi
8
0
0
23 Jan 2024
Enhancing Evolving Domain Generalization through Dynamic Latent
  Representations
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
Binghui Xie
Yongqiang Chen
Jiaqi Wang
Kaiwen Zhou
Bo Han
Wei Meng
James Cheng
28
5
0
16 Jan 2024
Complementary Benefits of Contrastive Learning and Self-Training Under
  Distribution Shift
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg
Amrith Rajagopal Setlur
Zachary Chase Lipton
Sivaraman Balakrishnan
Virginia Smith
Aditi Raghunathan
SSL
20
6
0
06 Dec 2023
DreamSync: Aligning Text-to-Image Generation with Image Understanding
  Feedback
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
Jiao Sun
Deqing Fu
Yushi Hu
Su Wang
Royi Rassin
...
Dana Alon
Charles Herrmann
Sjoerd van Steenkiste
Ranjay Krishna
Cyrus Rashtchian
EGVM
28
39
0
29 Nov 2023
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities
  Using Web Instructional Videos
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
Takehiko Ohkawa
Takuma Yagi
Taichi Nishimura
Ryosuke Furuta
Atsushi Hashimoto
Yoshitaka Ushiku
Yoichi Sato
EgoV
33
8
0
28 Nov 2023
Progressive Classifier and Feature Extractor Adaptation for Unsupervised
  Domain Adaptation on Point Clouds
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds
Zicheng Wang
Zhen Zhao
Yiming Wu
Luping Zhou
Dong Xu
3DPC
16
2
0
27 Nov 2023
Adaptive Training Distributions with Scalable Online Bilevel
  Optimization
Adaptive Training Distributions with Scalable Online Bilevel Optimization
David Grangier
Pierre Ablin
Awni Y. Hannun
21
10
0
20 Nov 2023
Evolving Domain Adaptation of Pretrained Language Models for Text
  Classification
Evolving Domain Adaptation of Pretrained Language Models for Text Classification
Yun-Shiuan Chuang
Yi Wu
Dhruv Gupta
Rheeya Uppaal
Ananya Kumar
Luhang Sun
Makesh Narsimhan Sreedhar
Sijia Yang
Timothy T. Rogers
Junjie Hu
VLM
29
4
0
16 Nov 2023
Self-Annotated 3D Geometric Learning for Smeared Points Removal
Self-Annotated 3D Geometric Learning for Smeared Points Removal
Miaowei Wang
Daniel Morris
3DPC
11
3
0
15 Nov 2023
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
41
5
0
20 Oct 2023
Out-Of-Domain Unlabeled Data Improves Generalization
Out-Of-Domain Unlabeled Data Improves Generalization
Amir Saberi
Amir Najafi
Alireza Heidari
Mohammad Hosein Movasaghinia
Abolfazl Motahari
B. Khalaj
OOD
19
0
0
29 Sep 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
K. Jia
TTA
65
22
0
26 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain
  Adaptation: Theory and Algorithms
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Keru Wu
Yuansi Chen
Wooseok Ha
Ting Yu
CML
23
2
0
19 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
13
4
0
18 Sep 2023
Multi-dimensional domain generalization with low-rank structures
Multi-dimensional domain generalization with low-rank structures
Sai Li
Linjun Zhang
30
2
0
18 Sep 2023
Image-level supervision and self-training for transformer-based
  cross-modality tumor segmentation
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Malo de Boisredon
Eugene Vorontsov
W. Le
Samuel Kadoury
MedIm
ViT
19
0
0
17 Sep 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for
  Domain Adaptation on Text Classification
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
Menglong Lu
Zhen Huang
Zhiliang Tian
Yunxiang Zhao
Xuanyu Fei
Dongsheng Li
OOD
18
5
0
04 Aug 2023
Continual Domain Adaptation on Aerial Images under Gradually Degrading
  Weather
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
C. S. Jahan
Andreas E. Savakis
9
1
0
02 Aug 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
24
16
0
11 Jul 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both
  Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Yixuan Li
OODD
33
45
0
15 Jun 2023
Taxonomy-Structured Domain Adaptation
Taxonomy-Structured Domain Adaptation
Tianyi Liu
Zihao Xu
Hao He
Guang-Yuan Hao
Guang-He Lee
Hao Wang
TTA
OOD
44
7
0
13 Jun 2023
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA
  Tasks? A: Self-Train on Unlabeled Images!
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
Zaid Khan
B. Vijaykumar
S. Schulter
Xiang Yu
Y. Fu
Manmohan Chandraker
VLM
MLLM
24
17
0
06 Jun 2023
Learning under random distributional shifts
Learning under random distributional shifts
Kirk Bansak
E. Paulson
Dominik Rothenhäusler
OOD
4
4
0
05 Jun 2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Jianfei Yang
Hanjie Qian
Yuecong Xu
Kai Wang
Lihua Xie
28
9
0
30 May 2023
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative
  Examples
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples
Deqing Fu
Ameya Godbole
Robin Jia
22
8
0
13 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Haohui Wang
Yuzhen Mao
Yujun Yan
Yaoqing Yang
Jianhui Sun
...
Si Zhang
Alison Hu
Edward Bowen
Tyler Cody
Dawei Zhou
44
2
0
01 May 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Reza Averly
Wei-Lun Chao
OODD
35
12
0
13 Apr 2023
Self-training with dual uncertainty for semi-supervised medical image
  segmentation
Self-training with dual uncertainty for semi-supervised medical image segmentation
Zhanhong Qiu
Haitao Gan
Mingzhi Shi
Zhongwei Huang
Zhi Yang
6
2
0
10 Apr 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source
  Domain Adaptation
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
Qi Chen
M. Marchand
OOD
23
8
0
04 Apr 2023
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