:: Library Catalog

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Bibliográfalaš dieđut
Váldodahkkit:	Lee, Taeckyung, Chottananurak, Sorn, Gong, Taesik, Lee, Sung-Ju
Materiálatiipa:	Preprint
Almmustuhtton:	2024
Fáttát:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Liŋkkat:	https://arxiv.org/abs/2404.01351
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

Test-Time Adaptation with Binary Feedback
Dahkki: Lee, Taeckyung, et al.
Almmustuhtton: (2025)

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
Dahkki: Yoon, Hyungjun, et al.
Almmustuhtton: (2024)

Effortless Active Labeling for Long-Term Test-Time Adaptation
Dahkki: Wang, Guowei, et al.
Almmustuhtton: (2025)

Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Dahkki: Jang, Minguk, et al.
Almmustuhtton: (2024)

When and Where to Reset Matters for Long-Term Test-Time Adaptation
Dahkki: Lim, Taejun, et al.
Almmustuhtton: (2026)

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition
Dahkki: Wang, Shuoyuan, et al.
Almmustuhtton: (2023)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation
Dahkki: Gong, Peiliang, et al.
Almmustuhtton: (2025)

Label-Free Cross-Task LoRA Merging with Null-Space Compression
Dahkki: Lee, Wonyoung, et al.
Almmustuhtton: (2026)

Simple yet Effective Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head Optimization
Dahkki: Kang, Seongjae, et al.
Almmustuhtton: (2025)

Evaluation of Test-Time Adaptation Under Computational Time Constraints
Dahkki: Alfarra, Motasem, et al.
Almmustuhtton: (2023)

A Layer Selection Approach to Test Time Adaptation
Dahkki: Sahoo, Sabyasachi, et al.
Almmustuhtton: (2024)

Temporal Test-Time Adaptation with State-Space Models
Dahkki: Schirmer, Mona, et al.
Almmustuhtton: (2024)

Annotation-Efficient Active Test-Time Adaptation with Conformal Prediction
Dahkki: Shi, Tingyu, et al.
Almmustuhtton: (2025)

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
Dahkki: Lee, Daeun, et al.
Almmustuhtton: (2024)

SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP
Dahkki: Timmermann, Christoph, et al.
Almmustuhtton: (2025)

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Dahkki: Liang, Jian, et al.
Almmustuhtton: (2023)

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Dahkki: Ma, Huan, et al.
Almmustuhtton: (2024)

Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound
Dahkki: Omolegan, Joshua, et al.
Almmustuhtton: (2025)

AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Dahkki: Sójka, Damian, et al.
Almmustuhtton: (2023)

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Dahkki: Wang, Zixin, et al.
Almmustuhtton: (2024)

Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Dahkki: Mots'oehli, Moseli, et al.
Almmustuhtton: (2025)

TTA-DAME: Test-Time Adaptation with Domain Augmentation and Model Ensemble for Dynamic Driving Conditions
Dahkki: Jeon, Dongjae, et al.
Almmustuhtton: (2025)

Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Dahkki: Jiang, Qinting, et al.
Almmustuhtton: (2025)

Uncertainty-Aware Test-Time Adaptation for Cross-Region Spatio-Temporal Fusion of Land Surface Temperature
Dahkki: Bouaziz, Sofiane, et al.
Almmustuhtton: (2026)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
Dahkki: Li, Xingjian, et al.
Almmustuhtton: (2025)

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm
Dahkki: Fan, Xiao, et al.
Almmustuhtton: (2025)

Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation
Dahkki: Wang, Ti, et al.
Almmustuhtton: (2024)

DPAC: Distribution-Preserving Adversarial Control for Diffusion Sampling
Dahkki: Lee, Han-Jin, et al.
Almmustuhtton: (2025)

Discover Your Neighbors: Advanced Stable Test-Time Adaptation in Dynamic World
Dahkki: Jiang, Qinting, et al.
Almmustuhtton: (2024)

Training-Free Restoration of Pruned Neural Networks
Dahkki: Lee, Keonho, et al.
Almmustuhtton: (2025)

Source-Free Domain Adaptation for YOLO Object Detection
Dahkki: Varailhon, Simon, et al.
Almmustuhtton: (2024)

PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation
Dahkki: Ranzinger, Mike, et al.
Almmustuhtton: (2024)

SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
Dahkki: Hwang, Uiwon, et al.
Almmustuhtton: (2024)

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation
Dahkki: Wang, Fan, et al.
Almmustuhtton: (2024)

ETA: Energy-based Test-time Adaptation for Depth Completion
Dahkki: Chung, Younjoon, et al.
Almmustuhtton: (2025)

Visual Test-time Scaling for GUI Agent Grounding
Dahkki: Luo, Tiange, et al.
Almmustuhtton: (2025)

COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
Dahkki: Huang, Fanding, et al.
Almmustuhtton: (2025)

Evaluating Visual Prompts with Eye-Tracking Data for MLLM-Based Human Activity Recognition
Dahkki: Choi, Jae Young, et al.
Almmustuhtton: (2026)

Continual Learning: Forget-free Winning Subnetworks for Video Representations
Dahkki: Kang, Haeyong, et al.
Almmustuhtton: (2023)

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Dahkki: Zhao, Kejie, et al.
Almmustuhtton: (2025)