{"total":26,"rows":[{"id":"2201.09637","title":"DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations","created":"2022-01-24","cited_by_count":54,"area":null},{"id":"2209.01634","title":"Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification","created":"2022-09-04","cited_by_count":25,"area":null},{"id":"2209.02700","title":"Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification","created":"2022-09-06","cited_by_count":20,"area":null},{"id":"2310.20271","title":"From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation","created":"2023-10-31","cited_by_count":20,"area":null},{"id":"2303.08106","title":"Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues","created":"2023-03-13","cited_by_count":12,"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":"2309.16460","title":"Diverse Target and Contribution Scheduling for Domain Generalization","created":"2023-09-28","cited_by_count":10,"area":null},{"id":"2307.00648","title":"Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization","created":"2023-07-02","cited_by_count":8,"area":null},{"id":"2106.04923","title":"Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization","created":"2021-06-09","cited_by_count":6,"area":null},{"id":"2103.02546","title":"Multi-task Learning by Leveraging the Semantic Information","created":"2021-03-03","cited_by_count":5,"area":null},{"id":"2310.09821","title":"LICO: Explainable Models with Language-Image Consistency","created":"2023-10-15","cited_by_count":5,"area":null},{"id":"2201.11231","title":"Gap Minimization for Knowledge Sharing and Transfer","created":"2022-01-26","cited_by_count":4,"area":null},{"id":"2501.01109","title":"BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization","created":"2025-01-02","cited_by_count":4,"area":null},{"id":"2306.11898","title":"Relating tSNE and UMAP to Classical Dimensionality Reduction","created":"2023-06-20","cited_by_count":3,"area":null},{"id":"2211.06788","title":"Adversarial and Random Transformations for Robust Domain Adaptation and Generalization","created":"2022-11-13","cited_by_count":2,"area":null},{"id":"2403.06174","title":"Domain Adversarial Active Learning for Domain Generalization Classification","created":"2024-03-10","cited_by_count":2,"area":null},{"id":"2508.05182","title":"SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2109.01902","title":"Barycentric-alignment and reconstruction loss minimization for domain generalization","created":"2021-09-04","cited_by_count":1,"area":null},{"id":"2309.13377","title":"Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head","created":"2023-09-23","cited_by_count":1,"area":null},{"id":"2305.15196","title":"Feature-aligned N-BEATS with Sinkhorn divergence","created":"2023-05-24","cited_by_count":0,"area":null},{"id":"2306.00879","title":"Domain Generalization for Domain-Linked Classes","created":"2023-06-01","cited_by_count":0,"area":null},{"id":"2307.10997","title":"DREAM: Domain-free Reverse Engineering Attributes of Black-box Model","created":"2023-07-20","cited_by_count":0,"area":null},{"id":"2310.07253","title":"ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction","created":"2023-10-11","cited_by_count":0,"area":null},{"id":"2412.05842","title":"DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model","created":"2024-12-08","cited_by_count":0,"area":null},{"id":"2507.12843","title":"Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2512.20914","title":"Invariant Feature Extraction Through Conditional Independence and the Optimal Transport Barycenter Problem: the Gaussian case","created":"2025-12-24","cited_by_count":0,"area":null}],"next_cursor":null}