ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.08200
  4. Cited By
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path
  and Beyond
v1v2 (latest)

Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond

International Conference on Machine Learning (ICML), 2022
18 April 2022
Haoxiang Wang
Yue Liu
Han Zhao
    OODCLL
ArXiv (abs)PDFHTML

Papers citing "Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond"

28 / 28 papers shown
Title
Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
Zixi Wang
Yushe Cao
Yubo Huang
Jinzhu Wei
Jingzehua Xu
Shuai Zhang
Xin Lai
73
0
0
13 Oct 2025
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Zhichen Zeng
Ruizhong Qiu
Wenxuan Bao
Tianxin Wei
Xiao Lin
Yuchen Yan
Tarek Abdelzaher
Jiawei Han
Hanghang Tong
OODAI4CE
231
9
0
19 May 2025
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
Incremental Uncertainty-aware Performance Monitoring with Active Labeling InterventionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Alexander Koebler
Thomas Decker
Ingo Thon
Volker Tresp
Florian Buettner
205
0
0
11 May 2025
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Muhammad Osama Zeeshan
M. Pedersoli
A. L. Koerich
Eric Grange
230
2
0
05 Apr 2025
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Sihui Dai
Christian Cianfarani
A. Bhagoji
Vikash Sehwag
Prateek Mittal
OODAAML
185
0
0
06 Feb 2025
GDO:Gradual Domain Osmosis
GDO:Gradual Domain Osmosis
Zixi Wang
Yushe Cao
972
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
375
0
0
29 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
293
1
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
136
0
0
11 Nov 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally
  Robust Optimization
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust OptimizationNeural Information Processing Systems (NeurIPS), 2024
Amir Saberi
Amir Najafi
Ala Emrani
Amin Behjati
Yasaman Zolfimoselo
Mahdi Shadrooy
Abolfazl Motahari
B. Khalaj
211
2
0
17 Oct 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond
  Covariate Shift
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
Jiayun Wu
Tianyu Wang
Peng Cui
Zhiwei Steven Wu
208
9
0
02 Jun 2024
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic
  Segmentation
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
Linglin Jing
Yiming Ding
Yunpeng Gao
Zhigang Wang
Xu Yan
Dong Wang
Gerald Schaefer
Hui Fang
Bin Zhao
Xuelong Li
168
9
0
25 Mar 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi
Pourya Shamsolmoali
Rafael M. O. Cruz
Eric Granger
211
2
0
16 Mar 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 Ling
OODAI4CE
145
12
0
12 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
243
2
0
05 Feb 2024
Enhancing Evolving Domain Generalization through Dynamic Latent
  Representations
Enhancing Evolving Domain Generalization through Dynamic Latent RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2024
Binghui Xie
Yongqiang Chen
Jiaqi Wang
Kaiwen Zhou
Bo Han
Wei Meng
James Cheng
217
8
0
16 Jan 2024
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities
  Using Web Instructional Videos
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional VideosIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Takehiko Ohkawa
Takuma Yagi
Taichi Nishimura
Ryosuke Furuta
Atsushi Hashimoto
Yoshitaka Ushiku
Yoichi Sato
EgoV
234
9
0
28 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
171
8
0
16 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain
  Generalization Algorithms
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
Haoxiang Wang
Gargi Balasubramaniam
Haozhe Si
Bo Li
Han Zhao
OOD
165
2
0
02 Nov 2023
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
323
15
0
20 Oct 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on GraphsInternational Conference on Machine Learning (ICML), 2023
Haohui Wang
Yuzhen Mao
Yujun Yan
Yaoqing Yang
Jianhui Sun
...
Si Zhang
Alison Hu
Edward Bowen
Tyler Cody
Dawei Zhou
368
7
0
01 May 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein
  Geodesics
Interpolation for Robust Learning: Data Augmentation on Wasserstein GeodesicsInternational Conference on Machine Learning (ICML), 2023
Jiacheng Zhu
Jielin Qiu
Aritra Guha
Zhuolin Yang
X. Nguyen
Yue Liu
Ding Zhao
OOD
360
4
0
04 Feb 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationNeural Information Processing Systems (NeurIPS), 2022
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
220
31
0
18 Oct 2022
Future Gradient Descent for Adapting the Temporal Shifting Data
  Distribution in Online Recommendation Systems
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation SystemsConference on Uncertainty in Artificial Intelligence (UAI), 2022
Mao Ye
Ruichen Jiang
Haoxiang Wang
Dhruv Choudhary
Xiaocong Du
Bhargav Bhushanam
Aryan Mokhtari
A. Kejariwal
Qiang Liu
TTAOODAI4TS
153
10
0
02 Sep 2022
Gradual Domain Adaptation via Normalizing Flows
Gradual Domain Adaptation via Normalizing FlowsNeural Computation (Neural Comput.), 2022
Shogo Sagawa
H. Hino
CLLOOD
284
15
0
23 Jun 2022
Algorithms and Theory for Supervised Gradual Domain Adaptation
Algorithms and Theory for Supervised Gradual Domain Adaptation
Jing Dong
Shiji Zhou
Baoxiang Wang
Haiying Zhao
OOD
168
9
0
25 Apr 2022
Cost-effective Framework for Gradual Domain Adaptation with
  Multifidelity
Cost-effective Framework for Gradual Domain Adaptation with MultifidelityNeural Networks (NN), 2022
Shogo Sagawa
H. Hino
CLL
212
6
0
09 Feb 2022
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
636
5,004
0
17 Feb 2017
1