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Test-time Adaptation

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Showing 351–400 of 484 papers

TitleStatusHype
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question AnsweringCode0
RDumb: A simple approach that questions our progress in continual test-time adaptationCode1
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time AdaptationCode1
On Pitfalls of Test-Time AdaptationCode1
Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification—0
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy MinimizationCode1
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction—0
Convolutional Monge Mapping Normalization for learning on sleep dataCode0
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsCode1
Target-Aware Generative Augmentations for Single-Shot AdaptationCode0
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationCode1
Test-Time Adaptation with Perturbation Consistency Learning—0
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation—0
Meta-Auxiliary Learning for Adaptive Human Pose Prediction—0
Evaluation of Test-Time Adaptation Under Computational Time ConstraintsCode1
Improved Test-Time Adaptation for Domain GeneralizationCode1
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization—0
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation—0
A Comprehensive Survey on Test-Time Adaptation under Distribution ShiftsCode3
Train/Test-Time Adaptation with Retrieval—0
Robust Test-Time Adaptation in Dynamic ScenariosCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
TempT: Temporal consistency for Test-time adaptation—0
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation—0
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
TeSLA: Test-Time Self-Learning With Automatic Adversarial AugmentationCode1
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationCode1
Learning to Adapt to Online Streams with Distribution Shifts—0
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation—0
Do Machine Learning Models Learn Statistical Rules Inferred from Data?Code0
Convolutional Visual Prompt for Robust Visual Perception—0
TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation—0
Towards Stable Test-Time Adaptation in Dynamic Wild WorldCode2
Semantic Image Segmentation: Two Decades of Research—0
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation—0
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical StudyCode0
MECTA: Memory-Economic Continual Test-Time Model AdaptationCode1
DELTA: degradation-free fully test-time adaptation—0
Uncovering Adversarial Risks of Test-Time Adaptation—0
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning—0
Command-Driven Articulated Object Understanding and Manipulation—0
Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection—0
TIPI: Test Time Adaptation With Transformation InvarianceCode1
Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption—0
A Probabilistic Framework for Lifelong Test-Time AdaptationCode1
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management—0
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation—0
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation—0
Addressing Distribution Shift at Test Time in Pre-trained Language Models—0
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world—0
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