{"total":37,"rows":[{"id":"2411.03687","title":"Beyond Model Adaptation at Test Time: A Survey","created":"2024-11-06","cited_by_count":59,"area":null},{"id":"2408.07511","title":"Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach","created":"2024-08-14","cited_by_count":23,"area":null},{"id":"2402.08225","title":"Improving Black-box Robustness with In-Context Rewriting","created":"2024-02-13","cited_by_count":8,"area":null},{"id":"2404.03784","title":"A Layer Selection Approach to Test Time Adaptation","created":"2024-04-04","cited_by_count":7,"area":null},{"id":"2406.14878","title":"MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection","created":"2024-06-21","cited_by_count":7,"area":null},{"id":"2504.08010","title":"Self-Bootstrapping for Versatile Test-Time Adaptation","created":"2025-04-10","cited_by_count":7,"area":null},{"id":"2503.10252","title":"SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning","created":"2025-03-13","cited_by_count":6,"area":null},{"id":"2406.13891","title":"DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection","created":"2024-06-19","cited_by_count":5,"area":null},{"id":"2510.21271","title":"Buffer layers for Test-Time Adaptation","created":"2025-10-24","cited_by_count":5,"area":null},{"id":"2512.02497","title":"A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation","created":"2025-12-02","cited_by_count":5,"area":null},{"id":"2607.01111","title":"FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement","created":"2026-07-01","cited_by_count":5,"area":null},{"id":"2410.14729","title":"Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation","created":"2024-10-16","cited_by_count":4,"area":null},{"id":"2312.01835","title":"Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation","created":"2023-12-04","cited_by_count":3,"area":null},{"id":"2509.04977","title":"Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization","created":"2025-09-05","cited_by_count":3,"area":null},{"id":"2506.02453","title":"PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2507.04061","title":"Consistent and Invariant Generalization Learning for Short-video Misinformation Detection","created":"2025-07-05","cited_by_count":2,"area":null},{"id":"2510.11068","title":"Efficient Test-Time Adaptation through Latent Subspace Coefficients Search","created":"2025-10-13","cited_by_count":2,"area":null},{"id":"2605.28057","title":"On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective","created":"2026-05-27","cited_by_count":2,"area":null},{"id":"2405.07171","title":"Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment","created":"2024-05-12","cited_by_count":1,"area":null},{"id":"2505.00986","title":"EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems","created":"2025-05-02","cited_by_count":1,"area":null},{"id":"2508.00766","title":"Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation","created":"2025-08-01","cited_by_count":1,"area":null},{"id":"2508.03388","title":"Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2509.08436","title":"HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2512.08569","title":"Instance-Aware Test-Time Segmentation for Continual Domain Shifts","created":"2025-12-09","cited_by_count":1,"area":null},{"id":"2603.25091","title":"Pixelis: Reasoning in Pixels, from Seeing to Acting","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2607.08164","title":"Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions","created":"2026-07-09","cited_by_count":1,"area":null},{"id":"2511.03148","title":"Test Time Adaptation Using Adaptive Quantile Recalibration","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2601.07556","title":"Backpropagation-Free Test-Time Adaptation for Lightweight EEG-Based Brain-Computer Interfaces","created":"2026-01-12","cited_by_count":0,"area":null},{"id":"2603.09338","title":"Predictive Spectral Calibration for Source-Free Test-Time Regression","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2603.26096","title":"AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2604.16926","title":"Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2605.24457","title":"Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2606.02339","title":"Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2608.19858","title":"Online Test-Time Adaptation for Generalizable Dynamic Graph Anomaly Detection","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2608.22233","title":"When Test-Time Adaptation Helps, Harms, or Becomes Inactive: A Condition-Level Study on CIFAR-10-C","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2608.23903","title":"Continual Visual Learning under Evolving Semantic Concept Shift","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.24111","title":"SPeaR: Test-Time Adaptation with Steering Primitives for Realigning Representations","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}