{"total":52,"rows":[{"id":"2209.07522","title":"Test-Time Training with Masked Autoencoders","created":"2022-09-15","cited_by_count":212,"area":null},{"id":"2204.08451","title":"Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion","created":"2022-04-18","cited_by_count":126,"area":null},{"id":"2211.14238","title":"Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time","created":"2022-11-25","cited_by_count":90,"area":null},{"id":"2106.09675","title":"Gone Fishing: Neural Active Learning with Fisher Embeddings","created":"2021-06-17","cited_by_count":88,"area":null},{"id":"2106.12108","title":"Near-Optimal Linear Regression under Distribution Shift","created":"2021-06-23","cited_by_count":42,"area":null},{"id":"2204.08200","title":"Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond","created":"2022-04-18","cited_by_count":32,"area":null},{"id":"2403.04697","title":"AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors","created":"2024-03-07","cited_by_count":29,"area":null},{"id":"2207.04587","title":"Gradual Domain Adaptation without Indexed Intermediate Domains","created":"2022-07-11","cited_by_count":26,"area":null},{"id":"2205.07649","title":"Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder","created":"2022-05-16","cited_by_count":19,"area":null},{"id":"2310.13852","title":"Gradual Domain Adaptation: Theory and Algorithms","created":"2023-10-20","cited_by_count":18,"area":null},{"id":"2302.02552","title":"Adapting to Continuous Covariate Shift via Online Density Ratio Estimation","created":"2023-02-06","cited_by_count":15,"area":null},{"id":"2402.07834","title":"Generalizing across Temporal Domains with Koopman Operators","created":"2024-02-12","cited_by_count":13,"area":null},{"id":"2206.11492","title":"Gradual Domain Adaptation via Normalizing Flows","created":"2022-06-23","cited_by_count":11,"area":null},{"id":"2301.07845","title":"Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment","created":"2023-01-19","cited_by_count":11,"area":null},{"id":"2507.08721","title":"Monitoring Risks in Test-Time Adaptation","created":"2025-07-11","cited_by_count":11,"area":null},{"id":"2210.06642","title":"What's in a Decade? Transforming Faces Through Time","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2103.04736","title":"Content-Aware Detection of Temporal Metadata Manipulation","created":"2021-03-08","cited_by_count":8,"area":null},{"id":"2106.06526","title":"Online Continual Adaptation with Active Self-Training","created":"2021-06-11","cited_by_count":8,"area":null},{"id":"2305.18421","title":"HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts","created":"2023-05-28","cited_by_count":8,"area":null},{"id":"2102.01690","title":"From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images","created":"2021-02-02","cited_by_count":7,"area":null},{"id":"2407.12492","title":"Temporal Test-Time Adaptation with State-Space Models","created":"2024-07-17","cited_by_count":7,"area":null},{"id":"2401.08464","title":"Enhancing Evolving Domain Generalization through Dynamic Latent Representations","created":"2024-01-16","cited_by_count":6,"area":null},{"id":"2310.06633","title":"Blind Dates: Examining the Expression of Temporality in Historical Photographs","created":"2023-10-10","cited_by_count":5,"area":null},{"id":"2312.00923","title":"Label Delay in Online Continual Learning","created":"2023-12-01","cited_by_count":5,"area":null},{"id":"2106.05618","title":"Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach","created":"2021-06-10","cited_by_count":4,"area":null},{"id":"2202.06996","title":"Unlabeled Data Help: Minimax Analysis and Adversarial Robustness","created":"2022-02-14","cited_by_count":4,"area":null},{"id":"2204.11644","title":"Algorithms and Theory for Supervised Gradual Domain Adaptation","created":"2022-04-25","cited_by_count":4,"area":null},{"id":"2311.10580","title":"Implicit Maximum a Posteriori Filtering via Adaptive Optimization","created":"2023-11-17","cited_by_count":4,"area":null},{"id":"2405.06816","title":"Non-stationary Domain Generalization: Theory and Algorithm","created":"2024-05-10","cited_by_count":4,"area":null},{"id":"2202.04359","title":"Cost-effective Framework for Gradual Domain Adaptation with Multifidelity","created":"2022-02-09","cited_by_count":3,"area":null},{"id":"2204.08601","title":"A Tour of Visualization Techniques for Computer Vision Datasets","created":"2022-04-19","cited_by_count":3,"area":null},{"id":"2412.05169","title":"Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2512.04571","title":"Temp-SCONE: A Novel Out-of-Distribution Detection and Domain Generalization Framework for Wild Data with Temporal Shift","created":"2025-12-04","cited_by_count":3,"area":null},{"id":"2310.15974","title":"Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees","created":"2023-10-24","cited_by_count":2,"area":null},{"id":"2507.13287","title":"Optimal Empirical Risk Minimization under Temporal Distribution Shifts","created":"2025-07-17","cited_by_count":2,"area":null},{"id":"2206.00047","title":"Evolving Domain Generalization","created":"2022-05-31","cited_by_count":1,"area":null},{"id":"2505.07023","title":"Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention","created":"2025-05-11","cited_by_count":1,"area":null},{"id":"2507.04194","title":"Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning","created":"2025-07-06","cited_by_count":1,"area":null},{"id":"2510.13864","title":"Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2511.05464","title":"Photo Dating by Facial Age Aggregation","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2402.04573","title":"Progressive Conservative Adaptation for Evolving Target Domains","created":"2024-02-07","cited_by_count":0,"area":null},{"id":"2407.09642","title":"Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2501.19155","title":"SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2501.19159","title":"GDO:Gradual Domain Osmosis","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2509.07591","title":"Temporal Image Forensics: A Review and Critical Evaluation","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2509.23487","title":"Temporal Generalization: A Reality Check","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2510.17626","title":"CaMiT: A Time-Aware Car Model Dataset for Classification and Generation","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2604.07266","title":"Tracking Adaptation Time: Metrics for Temporal Distribution Shift","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2606.14900","title":"GRASP: Gradient-Aligned Sequential Parameter Transfer for Memory-Efficient Multi-Source Learning","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2606.16941","title":"A nonparametric two-sample test using a parametric integral probability metric","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2607.05908","title":"Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2608.04927","title":"Optimal Training-Time Scaling in Gradual Adaptation","created":"2026-08-05","cited_by_count":0,"area":null}],"next_cursor":null}