{"total":60,"rows":[{"id":"2109.02934","title":"Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization","created":"2021-09-07","cited_by_count":186,"area":null},{"id":"2303.10353","title":"Sharpness-Aware Gradient Matching for Domain Generalization","created":"2023-03-18","cited_by_count":102,"area":null},{"id":"2201.06910","title":"ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization","created":"2022-01-18","cited_by_count":54,"area":null},{"id":"2308.06879","title":"Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization","created":"2023-08-14","cited_by_count":39,"area":null},{"id":"2311.13209","title":"Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation","created":"2023-11-22","cited_by_count":25,"area":null},{"id":"2308.09391","title":"Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization","created":"2023-08-18","cited_by_count":24,"area":null},{"id":"2203.14843","title":"Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches","created":"2022-03-28","cited_by_count":23,"area":null},{"id":"2212.02573","title":"Domain-General Crowd Counting in Unseen Scenarios","created":"2022-12-05","cited_by_count":20,"area":null},{"id":"2403.09124","title":"Single Domain Generalization for Crowd Counting","created":"2024-03-14","cited_by_count":17,"area":null},{"id":"2308.11778","title":"Understanding Hessian Alignment for Domain Generalization","created":"2023-08-22","cited_by_count":15,"area":null},{"id":"2401.10272","title":"Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization","created":"2024-01-05","cited_by_count":12,"area":null},{"id":"2203.06558","title":"AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation","created":"2022-03-13","cited_by_count":10,"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":"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":"2502.20162","title":"Gradient-Guided Annealing for Domain Generalization","created":"2025-02-27","cited_by_count":9,"area":null},{"id":"2305.01134","title":"PGrad: Learning Principal Gradients For Domain Generalization","created":"2023-05-02","cited_by_count":8,"area":null},{"id":"2307.14709","title":"Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation","created":"2023-07-27","cited_by_count":7,"area":null},{"id":"2307.15049","title":"Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models","created":"2023-07-27","cited_by_count":7,"area":"mllm"},{"id":"2401.08703","title":"Decoupled Prototype Learning for Reliable Test-Time Adaptation","created":"2024-01-15","cited_by_count":7,"area":null},{"id":"2402.14648","title":"Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off","created":"2024-02-22","cited_by_count":7,"area":null},{"id":"2405.16304","title":"Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients","created":"2024-05-25","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":"2406.09908","title":"What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?","created":"2024-06-14","cited_by_count":6,"area":null},{"id":"2505.16778","title":"Single Domain Generalization for Few-Shot Counting via Universal Representation Matching","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2505.21943","title":"Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting","created":"2025-05-28","cited_by_count":6,"area":null},{"id":"2306.14687","title":"GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration","created":"2023-06-26","cited_by_count":5,"area":null},{"id":"2503.17984","title":"Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting","created":"2025-03-23","cited_by_count":5,"area":null},{"id":"2111.10221","title":"Semi-Supervised Domain Generalization with Evolving Intermediate Domain","created":"2021-11-19","cited_by_count":4,"area":null},{"id":"2208.09130","title":"Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling","created":"2022-08-19","cited_by_count":4,"area":null},{"id":"2305.16746","title":"CNN Feature Map Augmentation for Single-Source Domain Generalization","created":"2023-05-26","cited_by_count":4,"area":null},{"id":"2309.06692","title":"Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization","created":"2023-09-13","cited_by_count":4,"area":null},{"id":"2404.07855","title":"Resolve Domain Conflicts for Generalizable Remote Physiological Measurement","created":"2024-04-11","cited_by_count":4,"area":null},{"id":"2409.19774","title":"Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization","created":"2024-09-29","cited_by_count":4,"area":null},{"id":"2401.08909","title":"Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift","created":"2024-01-17","cited_by_count":3,"area":null},{"id":"2505.12523","title":"Energy-Aware Deep Learning on Resource-Constrained Hardware","created":"2025-05-18","cited_by_count":3,"area":null},{"id":"2209.14742","title":"Learning Gradient-based Mixup with Extrapolation toward Flatter Minima for Domain Generalization","created":"2022-09-29","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":"2405.01189","title":"Gradient-Congruity Guided Federated Sparse Training","created":"2024-05-02","cited_by_count":2,"area":null},{"id":"2508.13880","title":"In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2509.20682","title":"Addressing Gradient Misalignment in Data-Augmented Training for Robust Speech Deepfake Detection","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2211.15180","title":"Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning","created":"2022-11-28","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":"2402.15239","title":"GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation","created":"2024-02-23","cited_by_count":1,"area":null},{"id":"2410.16579","title":"Conflict-Aware Adversarial Training","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2503.12935","title":"L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2506.08518","title":"FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching","created":"2025-06-10","cited_by_count":1,"area":null},{"id":"2606.16301","title":"One-Step Generalization Ratio Guided Optimization for Domain Generalization","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2210.10409","title":"Domain generalization Person Re-identification on Attention-aware multi-operation strategery","created":"2022-10-19","cited_by_count":0,"area":null},{"id":"2306.10809","title":"Shape Guided Gradient Voting for Domain Generalization","created":"2023-06-19","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":"2406.15635","title":"DataFreeShield: Defending Adversarial Attacks without Training Data","created":"2024-06-21","cited_by_count":0,"area":null},{"id":"2407.01749","title":"Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments","created":"2024-07-01","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":"2601.19127","title":"Implicit Non-Causal Factors are Out via Dataset Splitting for Domain Generalization Object Detection","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2605.07914","title":"Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2606.23758","title":"Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2606.25665","title":"Learning Subset-Shared Invariances for Domain Generalization with Mixture-of-Experts","created":"2026-06-24","cited_by_count":0,"area":"moe"},{"id":"2607.10116","title":"When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2609.39366","title":"COBICount: Separating Object and Background Responses for Remote Sensing Object Counting Without Training on Target Data","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}