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Test-time Adaptation

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Showing 251–275 of 484 papers

TitleStatusHype
Fully Test-time Adaptation for Tabular Data—0
Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning—0
GDA: Generalized Diffusion for Robust Test-time Adaptation—0
Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation—0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge—0
Generating Model Parameters for Controlling: Parameter Diffusion for Controllable Multi-Task Recommendation—0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis—0
Geometric Consistency Refinement for Single Image Novel View Synthesis via Test-Time Adaptation of Diffusion Models—0
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation—0
Introducing Intermediate Domains for Effective Self-Training during Test-Time—0
Graph-Guided Test-Time Adaptation for Glaucoma Diagnosis using Fundus Photography—0
GraphTTA: Test Time Adaptation on Graph Neural Networks—0
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach—0
Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation—0
Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics—0
Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation—0
Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection—0
IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement—0
Improving Accuracy and Generalization for Efficient Visual Tracking—0
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving—0
Improving Entropy-Based Test-Time Adaptation from a Clustering View—0
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes—0
InDeed: Interpretable image deep decomposition with guaranteed generalizability—0
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models—0
JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion Models—0
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