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Domain Adaptation

1154 directly classified papers

Papers per year

Papers

Robust Learning via Conditional Prevalence Adjustment WACV 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation CVPR 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 2024
Disentangling Domain and General Representations for Time Series Classification IJCAI 2024
What How and When Should Object Detectors Update in Continually Changing Test Domains? CVPR 2024
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition CVPR 2024
Cross-Scale Domain Adaptation with Comprehensive Information for Pansharpening IJCAI 2024
Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation IJCAI 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024
Fast One-Stage Unsupervised Domain Adaptive Person Search IJCAI 2024
Gradual Domain Adaptation: Theory and Algorithms JMLR 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria JMLR 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments AAAI 2024
Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation IJCAI 2024
Cycle Self-Refinement for Multi-Source Domain Adaptation AAAI 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024
Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain COLING 2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors AAAI 2024
SCoRD: Subject-Conditional Relation Detection With Text-Augmented Data WACV 2024
Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models WACV 2024