Cover Image

POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yi, Chang'an, Deng, Xiaohui, Niu, Shuaicheng, Zhou, Yan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Small Guides Large: Cross-Model Co-Learning for Test-Time Adaptation
by: Yi, Chang'an, et al.
Published: (2025)

EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample
by: Chen, Guohao, et al.
Published: (2026)

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
by: Zhang, Jingyuan, et al.
Published: (2024)

Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
by: Li, Kanxue, et al.
Published: (2025)

Plug-and-Play Transformer Modules for Test-Time Adaptation
by: Chang, Xiangyu, et al.
Published: (2024)

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

Monitoring Risks in Test-Time Adaptation
by: Schirmer, Mona, et al.
Published: (2025)

From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?
by: Yi, Chang'an, et al.
Published: (2023)

On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
by: Zhou, Zhi, et al.
Published: (2026)

Test-Time Meta-Adaptation with Self-Synthesis
by: Kaya, Zeyneb N., et al.
Published: (2026)

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance
by: Shamsi, Afshar, et al.
Published: (2024)

Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation
by: Zeng, Runhao, et al.
Published: (2025)

BoTTA: Benchmarking on-device Test Time Adaptation
by: Danilowski, Michal, et al.
Published: (2025)

Beyond Model Adaptation at Test Time: A Survey
by: Xiao, Zehao, et al.
Published: (2024)

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
by: Gui, Shurui, et al.
Published: (2024)

Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
by: Medeiros, Heitor R., et al.
Published: (2025)

Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
by: Chen, Hong, et al.
Published: (2026)

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
by: Ambekar, Sameer, et al.
Published: (2025)

Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
by: Kim, Eungyeup, et al.
Published: (2023)

The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
by: Amin, Fin, et al.
Published: (2024)

Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
by: Zhang, Yufei, et al.
Published: (2024)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
by: Liu, Jun, et al.
Published: (2025)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation
by: Gong, Peiliang, et al.
Published: (2025)

AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs
by: Dang, Ting, et al.
Published: (2026)

Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies
by: Lou, Zhanzhi, et al.
Published: (2026)

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
by: Tan, Jiayao, et al.
Published: (2024)

Fully Test-time Adaptation for Tabular Data
by: Zhou, Zhi, et al.
Published: (2024)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
by: Niu, Yiming, et al.
Published: (2025)

Test-Time Model Adaptation with Only Forward Passes
by: Niu, Shuaicheng, et al.
Published: (2024)

PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
by: Niu, Yiming, et al.
Published: (2025)

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
by: Kim, HyunGi, et al.
Published: (2025)

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
by: Kim, HyunGi, et al.
Published: (2026)

Towards Reliable Testing of Machine Unlearning
by: Mazhar, Anna, et al.
Published: (2026)

How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots
by: Yu, Hang, et al.
Published: (2024)

Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
by: Kim, Yeongmin, et al.
Published: (2026)

Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
by: Han, Seungyub, et al.
Published: (2026)

Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference
by: Hu, Pengfei, et al.
Published: (2026)

Partial Domain Adaptation via Importance Sampling-based Shift Correction
by: Guo, Cheng-Jun, et al.
Published: (2025)

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

When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection
by: Huang, Wei, et al.
Published: (2026)