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Domain Adaptation

1154 directly classified papers

Papers per year

Papers

Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval NIPS 2024
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation WACV 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024
Unsupervised Domain Adaptation for Semantic Segmentation With Pseudo Label Self-Refinement WACV 2024
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data AAAI 2024
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NIPS 2024
Gradual Domain Adaptation: Theory and Algorithms JMLR 2024
Stochastic Binary Network for Universal Domain Adaptation WACV 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024
CoD: Coherent Detection of Entities From Images With Multiple Modalities WACV 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment WACV 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NIPS 2024
Domain Adaptation for Large-Vocabulary Object Detectors NIPS 2024
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models NIPS 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NIPS 2024
Adaptive Domain Learning for Cross-domain Image Denoising NIPS 2024
Effective Restoration of Source Knowledge in Continual Test Time Adaptation WACV 2024
Attentive Prototypes for Source-Free Unsupervised Domain Adaptive 3D Object Detection WACV 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
Optimal Classification under Performative Distribution Shift NIPS 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NIPS 2024