{"total":66,"rows":[{"id":"2303.15361","title":"A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts","created":"2023-03-27","cited_by_count":359,"area":null},{"id":"2109.02934","title":"Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization","created":"2021-09-07","cited_by_count":186,"area":null},{"id":"2106.03721","title":"OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization","created":"2021-06-07","cited_by_count":86,"area":null},{"id":"2112.05090","title":"Extending the WILDS Benchmark for Unsupervised Adaptation","created":"2021-12-09","cited_by_count":86,"area":null},{"id":"2309.12659","title":"OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling","created":"2023-09-22","cited_by_count":74,"area":null},{"id":"2207.03442","title":"Back to the Source: Diffusion-Driven Test-Time Adaptation","created":"2022-07-07","cited_by_count":71,"area":null},{"id":"2207.09944","title":"Probable Domain Generalization via Quantile Risk Minimization","created":"2022-07-20","cited_by_count":66,"area":null},{"id":"2301.02560","title":"GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition","created":"2023-01-05","cited_by_count":50,"area":null},{"id":"2304.12566","title":"AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation","created":"2023-04-25","cited_by_count":48,"area":null},{"id":"2106.00592","title":"Semi-Supervised Domain Generalization with Stochastic StyleMatch","created":"2021-06-01","cited_by_count":43,"area":null},{"id":"2402.03310","title":"V-IRL: Grounding Virtual Intelligence in Real Life","created":"2024-02-05","cited_by_count":35,"area":null},{"id":"2202.08045","title":"Learning to Generalize across Domains on Single Test Samples","created":"2022-02-16","cited_by_count":24,"area":null},{"id":"2402.10099","title":"Any-Shift Prompting for Generalization over Distributions","created":"2024-02-15","cited_by_count":24,"area":null},{"id":"2310.18562","title":"Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition","created":"2023-10-28","cited_by_count":18,"area":null},{"id":"2303.15443","title":"GeoNet: Benchmarking Unsupervised Adaptation across Geographies","created":"2023-03-27","cited_by_count":17,"area":null},{"id":"2308.14023","title":"Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation","created":"2023-08-27","cited_by_count":16,"area":null},{"id":"2405.13777","title":"No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models","created":"2024-05-22","cited_by_count":16,"area":"mllm"},{"id":"2208.03644","title":"Label-Efficient Domain Generalization via Collaborative Exploration and Generalization","created":"2022-08-07","cited_by_count":15,"area":null},{"id":"2208.08661","title":"Domain-Specific Risk Minimization for Out-of-Distribution Generalization","created":"2022-08-18","cited_by_count":15,"area":null},{"id":"2302.11215","title":"Energy-Based Test Sample Adaptation for Domain Generalization","created":"2023-02-22","cited_by_count":14,"area":null},{"id":"2203.16530","title":"Learning Instance-Specific Adaptation for Cross-Domain Segmentation","created":"2022-03-30","cited_by_count":13,"area":null},{"id":"2206.01125","title":"Prefix Conditioning Unifies Language and Label Supervision","created":"2022-06-02","cited_by_count":13,"area":null},{"id":"2301.10418","title":"DEJA VU: Continual Model Generalization For Unseen Domains","created":"2023-01-25","cited_by_count":13,"area":null},{"id":"2307.13136","title":"Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?","created":"2023-07-24","cited_by_count":13,"area":null},{"id":"2311.05746","title":"Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models","created":"2023-11-09","cited_by_count":11,"area":"mllm"},{"id":"2208.01996","title":"Adaptive Domain Generalization via Online Disagreement Minimization","created":"2022-08-03","cited_by_count":9,"area":null},{"id":"2310.04724","title":"Activate and Reject: Towards Safe Domain Generalization under Category Shift","created":"2023-10-07","cited_by_count":9,"area":null},{"id":"2311.16420","title":"Model-free Test Time Adaptation for Out-Of-Distribution Detection","created":"2023-11-28","cited_by_count":9,"area":null},{"id":"2204.11122","title":"Can domain adaptation make object recognition work for everyone?","created":"2022-04-23","cited_by_count":8,"area":null},{"id":"2302.02350","title":"Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization","created":"2023-02-05","cited_by_count":8,"area":null},{"id":"2507.02288","title":"Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization","created":"2025-07-03","cited_by_count":8,"area":null},{"id":"2203.15234","title":"Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets","created":"2022-03-29","cited_by_count":7,"area":null},{"id":"2406.12452","title":"Insect Identification in the Wild: The AMI Dataset","created":"2024-06-18","cited_by_count":7,"area":null},{"id":"2407.09475","title":"Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting","created":"2024-07-12","cited_by_count":7,"area":null},{"id":"2112.04766","title":"Adaptive Methods for Aggregated Domain Generalization","created":"2021-12-09","cited_by_count":6,"area":null},{"id":"2304.05391","title":"Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies","created":"2023-04-11","cited_by_count":6,"area":null},{"id":"2505.02027","title":"GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning","created":"2025-05-04","cited_by_count":6,"area":null},{"id":"2403.07687","title":"Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2109.13305","title":"ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning","created":"2021-09-27","cited_by_count":4,"area":null},{"id":"2401.01482","title":"Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition","created":"2024-01-03","cited_by_count":4,"area":null},{"id":"2304.07560","title":"Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation","created":"2023-04-15","cited_by_count":3,"area":null},{"id":"2307.04033","title":"Probabilistic Test-Time Generalization by Variational Neighbor-Labeling","created":"2023-07-08","cited_by_count":3,"area":null},{"id":"2503.06698","title":"What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization","created":"2025-03-09","cited_by_count":3,"area":null},{"id":"2510.04441","title":"Domain Generalization Under Posterior Drift","created":"2025-10-06","cited_by_count":3,"area":null},{"id":"2512.05226","title":"Variance Matters: Improving Domain Adaptation via Stratified Sampling","created":"2025-12-04","cited_by_count":3,"area":null},{"id":"2306.10805","title":"Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer","created":"2023-06-19","cited_by_count":2,"area":null},{"id":"2307.07181","title":"DISPEL: Domain Generalization via Domain-Specific Liberating","created":"2023-07-14","cited_by_count":2,"area":null},{"id":"2401.03253","title":"VLLaVO: Mitigating Visual Gap through LLMs","created":"2024-01-06","cited_by_count":2,"area":"mllm"},{"id":"2502.12195","title":"GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts","created":"2025-02-15","cited_by_count":2,"area":null},{"id":"2605.05084","title":"Order Matters: Improving Domain Adaptation by Reordering Data","created":"2026-05-06","cited_by_count":2,"area":null},{"id":"2302.00995","title":"Open-Set Multi-Source Multi-Target Domain Adaptation","created":"2023-02-02","cited_by_count":1,"area":null},{"id":"2507.15523","title":"An Investigation of Test-time Adaptation for Audio Classification under Background Noise","created":"2025-07-21","cited_by_count":1,"area":null},{"id":"2602.09775","title":"Where Do Images Come From? Analyzing Captions to Geographically Profile Datasets","created":"2026-02-10","cited_by_count":1,"area":null},{"id":"2604.16220","title":"OT on the Map: Quantifying Domain Shifts in Geographic Space","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2606.24997","title":"What's in an Earth Embedding? An Explainability Analysis of Location Encoders","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2112.00432","title":"A benchmark with decomposed distribution shifts for 360 monocular depth estimation","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2310.02473","title":"Prompting-based Temporal Domain Generalization","created":"2023-10-03","cited_by_count":0,"area":null},{"id":"2312.00364","title":"Benchmarking Multi-Domain Active Learning on Image Classification","created":"2023-12-01","cited_by_count":0,"area":null},{"id":"2312.10107","title":"Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2401.02561","title":"CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions","created":"2024-01-04","cited_by_count":0,"area":null},{"id":"2401.03170","title":"Preserving Silent Features for Domain Generalization","created":"2024-01-06","cited_by_count":0,"area":null},{"id":"2403.05209","title":"Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization","created":"2024-03-08","cited_by_count":0,"area":null},{"id":"2410.04235","title":"Improving Distribution Alignment with Diversity-based Sampling","created":"2024-10-05","cited_by_count":0,"area":null},{"id":"2508.09223","title":"Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation","created":"2025-08-11","cited_by_count":0,"area":null},{"id":"2607.20367","title":"Variance-reduced Domain Adaptation using Paired Sampling","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2607.20374","title":"Online Variance Reduction for Domain Adaptation on Streaming Data","created":"2026-07-22","cited_by_count":0,"area":null}],"next_cursor":null}