{"total":86,"rows":[{"id":"2203.10789","title":"Domain Generalization by Mutual-Information Regularization with Pre-trained Models","created":"2022-03-21","cited_by_count":133,"area":null},{"id":"2303.10353","title":"Sharpness-Aware Gradient Matching for Domain Generalization","created":"2023-03-18","cited_by_count":102,"area":null},{"id":"2206.04046","title":"Sparse Mixture-of-Experts are Domain Generalizable Learners","created":"2022-06-08","cited_by_count":85,"area":"moe"},{"id":"2310.08255","title":"Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification","created":"2023-10-12","cited_by_count":41,"area":"mllm"},{"id":"2207.12392","title":"Self-Distilled Vision Transformer for Domain Generalization","created":"2022-07-25","cited_by_count":35,"area":null},{"id":"2207.12020","title":"Domain-invariant Feature Exploration for Domain Generalization","created":"2022-07-25","cited_by_count":34,"area":null},{"id":"2307.16851","title":"Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives","created":"2023-07-31","cited_by_count":30,"area":"alignment"},{"id":"2212.07101","title":"Domain Generalization by Learning and Removing Domain-specific Features","created":"2022-12-14","cited_by_count":28,"area":null},{"id":"2311.08503","title":"MADG: Margin-based Adversarial Learning for Domain Generalization","created":"2023-11-14","cited_by_count":22,"area":null},{"id":"2209.14926","title":"Domain-Unified Prompt Representations for Source-Free Domain Generalization","created":"2022-09-29","cited_by_count":21,"area":null},{"id":"2307.09933","title":"Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features","created":"2023-07-19","cited_by_count":21,"area":null},{"id":"2302.14685","title":"DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks","created":"2023-02-28","cited_by_count":20,"area":null},{"id":"2304.01973","title":"ERM++: An Improved Baseline for Domain Generalization","created":"2023-04-04","cited_by_count":18,"area":null},{"id":"2302.02609","title":"Improving Domain Generalization with Domain Relations","created":"2023-02-06","cited_by_count":14,"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":"2302.06495","title":"Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts","created":"2023-02-13","cited_by_count":12,"area":null},{"id":"2303.07527","title":"Domain Generalization via Nuclear Norm Regularization","created":"2023-03-13","cited_by_count":12,"area":null},{"id":"2403.11371","title":"V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions","created":"2024-03-17","cited_by_count":12,"area":null},{"id":"2502.10691","title":"Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning","created":"2025-02-15","cited_by_count":11,"area":null},{"id":"2206.03601","title":"Decoupled Self-supervised Learning for Non-Homophilous Graphs","created":"2022-06-07","cited_by_count":10,"area":null},{"id":"2210.17398","title":"Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation","created":"2022-10-31","cited_by_count":10,"area":null},{"id":"2212.09950","title":"Domain Generalization with Correlated Style Uncertainty","created":"2022-12-20","cited_by_count":10,"area":null},{"id":"2303.15698","title":"TFS-ViT: Token-Level Feature Stylization for Domain Generalization","created":"2023-03-28","cited_by_count":10,"area":null},{"id":"2412.13573","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","created":"2024-12-18","cited_by_count":10,"area":null},{"id":"2208.01996","title":"Adaptive Domain Generalization via Online Disagreement Minimization","created":"2022-08-03","cited_by_count":9,"area":null},{"id":"2302.01497","title":"Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models","created":"2023-02-03","cited_by_count":9,"area":null},{"id":"2403.16788","title":"HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation","created":"2024-03-25","cited_by_count":9,"area":null},{"id":"2507.03304","title":"Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations","created":"2025-07-04","cited_by_count":9,"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":"2307.13492","title":"NormAUG: Normalization-guided Augmentation for Domain Generalization","created":"2023-07-25","cited_by_count":8,"area":null},{"id":"2403.05600","title":"Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2504.12753","title":"Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation","created":"2025-04-17","cited_by_count":7,"area":null},{"id":"2211.05228","title":"FIXED: Frustratingly Easy Domain Generalization with Mixup","created":"2022-11-07","cited_by_count":6,"area":null},{"id":"2302.11019","title":"Using Semantic Information for Defining and Detecting OOD Inputs","created":"2023-02-21","cited_by_count":6,"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":"2406.04609","title":"Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition","created":"2024-06-07","cited_by_count":6,"area":null},{"id":"2410.20406","title":"Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis","created":"2024-10-27","cited_by_count":6,"area":null},{"id":"2310.06670","title":"Domain Generalization by Rejecting Extreme Augmentations","created":"2023-10-10","cited_by_count":5,"area":null},{"id":"2407.03588","title":"FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization","created":"2024-07-04","cited_by_count":5,"area":"diffusion"},{"id":"2503.15435","title":"V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception","created":"2025-03-19","cited_by_count":5,"area":null},{"id":"2305.12552","title":"Wav2SQL: Direct Generalizable Speech-To-SQL Parsing","created":"2023-05-21","cited_by_count":4,"area":null},{"id":"2308.14596","title":"LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration","created":"2023-08-28","cited_by_count":4,"area":null},{"id":"2309.04063","title":"INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization","created":"2023-09-08","cited_by_count":4,"area":null},{"id":"2201.10460","title":"Conditional entropy minimization principle for learning domain invariant representation features","created":"2022-01-25","cited_by_count":3,"area":null},{"id":"2305.07269","title":"Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction","created":"2023-05-12","cited_by_count":3,"area":null},{"id":"2407.07544","title":"Disentangling Masked Autoencoders for Unsupervised Domain Generalization","created":"2024-07-10","cited_by_count":3,"area":null},{"id":"2409.18205","title":"Bridging OOD Detection and Generalization: A Graph-Theoretic View","created":"2024-09-26","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":"2506.23675","title":"Pruning by Block Benefit: Exploring the Properties of Vision Transformer Blocks during Domain Adaptation","created":"2025-06-30","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":"2111.14290","title":"TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification","created":"2021-11-29","cited_by_count":2,"area":null},{"id":"2208.00898","title":"Joint covariate-alignment and concept-alignment: a framework for domain generalization","created":"2022-08-01","cited_by_count":2,"area":null},{"id":"2306.13237","title":"Pruning for Better Domain Generalizability","created":"2023-06-22","cited_by_count":2,"area":null},{"id":"2312.08677","title":"Adaptive Shortcut Debiasing for Online Continual Learning","created":"2023-12-14","cited_by_count":2,"area":null},{"id":"2404.18758","title":"Transitive Vision-Language Prompt Learning for Domain Generalization","created":"2024-04-29","cited_by_count":2,"area":"mllm"},{"id":"2406.01432","title":"ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models","created":"2024-06-03","cited_by_count":2,"area":"mllm"},{"id":"2410.11267","title":"FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning","created":"2024-10-15","cited_by_count":2,"area":null},{"id":"2502.12736","title":"Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks","created":"2025-02-18","cited_by_count":2,"area":null},{"id":"2504.02996","title":"Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization","created":"2025-04-03","cited_by_count":2,"area":null},{"id":"2505.24149","title":"RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget","created":"2025-05-30","cited_by_count":2,"area":null},{"id":"2506.09446","title":"Harmonizing and Merging Source Models for CLIP-based Domain Generalization","created":"2025-06-11","cited_by_count":2,"area":null},{"id":"2507.14227","title":"Domain Generalization via Pareto Optimal Gradient Matching","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2210.15000","title":"Trade-off between reconstruction loss and feature alignment for domain generalization","created":"2022-10-26","cited_by_count":1,"area":null},{"id":"2212.12411","title":"Benchmark for Uncertainty & Robustness in Self-Supervised Learning","created":"2022-12-23","cited_by_count":1,"area":null},{"id":"2311.13928","title":"Parameter Exchange for Robust Dynamic Domain Generalization","created":"2023-11-23","cited_by_count":1,"area":null},{"id":"2401.02150","title":"Marginal Debiased Network for Fair Visual Recognition","created":"2024-01-04","cited_by_count":1,"area":null},{"id":"2409.04699","title":"Dual-stream Feature Augmentation for Domain Generalization","created":"2024-09-07","cited_by_count":1,"area":null},{"id":"2412.11542","title":"Meta Curvature-Aware Minimization for Domain Generalization","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2508.20417","title":"KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval","created":"2025-08-28","cited_by_count":1,"area":"rag"},{"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":"2510.19330","title":"Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization","created":"2025-10-22","cited_by_count":1,"area":null},{"id":"2602.17901","title":"MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis","created":"2026-02-19","cited_by_count":1,"area":"diffusion"},{"id":"2605.25771","title":"MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2207.12876","title":"Repeated Environment Inference for Invariant Learning","created":"2022-07-26","cited_by_count":0,"area":null},{"id":"2211.14594","title":"Direct-Effect Risk Minimization for Domain Generalization","created":"2022-11-26","cited_by_count":0,"area":null},{"id":"2308.03936","title":"ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals","created":"2023-08-07","cited_by_count":0,"area":null},{"id":"2310.02692","title":"Clustering-based Image-Text Graph Matching for Domain Generalization","created":"2023-10-04","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":"2501.19159","title":"GDO:Gradual Domain Osmosis","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2504.02272","title":"Generative Classifier for Domain Generalization","created":"2025-04-03","cited_by_count":0,"area":null},{"id":"2504.03064","title":"Context-Aware Self-Adaptation for Domain Generalization","created":"2025-04-03","cited_by_count":0,"area":null},{"id":"2505.18770","title":"Dual-Path Stable Soft Prompt Generation for Domain Generalization","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2507.17784","title":"Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2510.06955","title":"High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2605.16973","title":"SHED: Style-Homogenized Embedding Alignment for Domain Generalization","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2608.12766","title":"PatchGen: Learning Soft Intra-Image Predictive Subsets for Visual Generalization","created":"2026-08-13","cited_by_count":0,"area":null}],"next_cursor":null}