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Domain Adaptation

1154 directly classified papers

Papers per year

Papers

Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation AAAI 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024
Robust Depth Enhancement via Polarization Prompt Fusion Tuning CVPR 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods AAAI 2024
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds CVPR 2024
Multi-Source Domain Adaptation for Object Detection With Prototype-Based Mean Teacher WACV 2024
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation CVPR 2024
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline CVPR 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation CVPR 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 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
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors AAAI 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation AAAI 2024
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments AAAI 2024
Gradual Domain Adaptation: Theory and Algorithms JMLR 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024
Probability-Polarized Optimal Transport for Unsupervised Domain 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
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024