Imagen de Portada

Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Seonghwi, Jo, Sung Ho, Ha, Wooseok, Chae, Minwoo
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
por: Jo, Sung Ho, et al.
Publicado: (2025)

Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
por: Chaddad, Ahmad, et al.
Publicado: (2025)

Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
por: Fawaz, Hassan Ismail, et al.
Publicado: (2023)

Collaborative Multi-source Domain Adaptation Through Optimal Transport
por: Ghannou, Omar, et al.
Publicado: (2024)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
por: Liu, Meihan, et al.
Publicado: (2024)

Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
por: Ma, Yao, et al.
Publicado: (2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
por: Liu, Meihan, et al.
Publicado: (2024)

TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
por: Kim, Jaeho, et al.
Publicado: (2025)

Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation
por: Wang, Zhenyu, et al.
Publicado: (2023)

Fairness Through Matching
por: Kim, Kunwoong, et al.
Publicado: (2025)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
por: Wang, Yilong, et al.
Publicado: (2025)

Adaptive Action Chunking via Multi-Chunk Q Value Estimation
por: Shin, Yongjae, et al.
Publicado: (2026)

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
por: Zhou, Yangxuan, et al.
Publicado: (2024)

On Evaluation of Unsupervised Feature Selection for Pattern Classification
por: Kim, Gyu-Il, et al.
Publicado: (2026)

Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
por: Koo, Jabin, et al.
Publicado: (2024)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
por: Oh, YongKyung, et al.
Publicado: (2025)

DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
por: Hu, Fo, et al.
Publicado: (2025)

Concept-Based Unsupervised Domain Adaptation
por: Xu, Xinyue, et al.
Publicado: (2025)

Gradient Harmonization in Unsupervised Domain Adaptation
por: Huang, Fuxiang, et al.
Publicado: (2024)

From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
por: Cai, Rongyao, et al.
Publicado: (2025)

WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory
por: Kim, Jin Sob, et al.
Publicado: (2025)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
por: Chen, Wei, et al.
Publicado: (2024)

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
por: Yin, Nan, et al.
Publicado: (2023)

OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptation
por: Zhang, Yiming, et al.
Publicado: (2025)

Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification
por: Owfi, Ali, et al.
Publicado: (2025)

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
por: Lalou, Yanis, et al.
Publicado: (2024)

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
por: Byeon, Woohyeon, et al.
Publicado: (2025)

Autonomous Source Knowledge Selection in Multi-Domain Adaptation
por: Li, Keqiuyin, et al.
Publicado: (2025)

Adversarially Trained Object Detector for Unsupervised Domain Adaptation
por: Fujii, Kazuma, et al.
Publicado: (2021)

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
por: Zhang, Jingyuan, et al.
Publicado: (2024)

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation
por: Wang, Fan, et al.
Publicado: (2024)

MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation
por: Radwan, Ahmed Y., et al.
Publicado: (2026)

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
por: Chen, Wei, et al.
Publicado: (2026)

When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection
por: Kim, Dongmin, et al.
Publicado: (2023)

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
por: Kangin, Dmitry, et al.
Publicado: (2024)

Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
por: Han, Runxin, et al.
Publicado: (2025)

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
por: Shin, Yongjae, et al.
Publicado: (2026)

Flow Actor-Critic for Offline Reinforcement Learning
por: Chae, Jongseong, et al.
Publicado: (2026)

Test-Time Adaptation with Binary Feedback
por: Lee, Taeckyung, et al.
Publicado: (2025)

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
por: Yang, Jiawen, et al.
Publicado: (2025)