{"total":28,"rows":[{"id":"2302.13485","title":"FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning","created":"2023-02-27","cited_by_count":70,"area":null},{"id":"2207.12020","title":"Domain-invariant Feature Exploration for Domain Generalization","created":"2022-07-25","cited_by_count":34,"area":null},{"id":"2410.19818","title":"UniMTS: Unified Pre-training for Motion Time Series","created":"2024-10-18","cited_by_count":26,"area":null},{"id":"2308.02282","title":"DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization","created":"2023-08-04","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":"2401.10185","title":"Transfer Learning in Human Activity Recognition: A Survey","created":"2024-01-18","cited_by_count":14,"area":null},{"id":"2306.04641","title":"Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning","created":"2023-05-25","cited_by_count":12,"area":null},{"id":"2404.15349","title":"A Survey on Multimodal Wearable Sensor-based Human Action Recognition","created":"2024-04-14","cited_by_count":10,"area":null},{"id":"2307.12502","title":"Cross Contrasting Feature Perturbation for Domain Generalization","created":"2023-07-24","cited_by_count":9,"area":null},{"id":"2305.16817","title":"Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup","created":"2023-05-26","cited_by_count":8,"area":null},{"id":"2211.05228","title":"FIXED: Frustratingly Easy Domain Generalization with Mixup","created":"2022-11-07","cited_by_count":6,"area":null},{"id":"2410.00003","title":"Large Language Model-Guided Semantic Alignment for Human Activity Recognition","created":"2024-09-12","cited_by_count":6,"area":null},{"id":"2508.12213","title":"Towards Generalizable Human Activity Recognition: A Survey","created":"2025-08-17","cited_by_count":6,"area":null},{"id":"2505.22769","title":"MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2512.10807","title":"HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition","created":"2025-12-11","cited_by_count":3,"area":null},{"id":"2305.10293","title":"Infinite Class Mixup","created":"2023-05-17","cited_by_count":2,"area":null},{"id":"2411.10595","title":"FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services","created":"2024-11-15","cited_by_count":2,"area":null},{"id":"2503.13542","title":"HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets","created":"2025-03-16","cited_by_count":2,"area":null},{"id":"2605.08296","title":"BenchHAR: Benchmarking Self-Supervised Learning for Generalizable Sensor-based Activity Recognition","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2403.14922","title":"CODA: A Continuous Online Evolve Framework for Deploying HAR Sensing Systems","created":"2024-03-22","cited_by_count":1,"area":null},{"id":"2404.15305","title":"SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay","created":"2024-03-29","cited_by_count":1,"area":null},{"id":"2506.02256","title":"Human Heterogeneity Invariant Stress Sensing","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2405.15962","title":"Wearable-based behaviour interpolation for semi-supervised human activity recognition","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2605.22086","title":"GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.24781","title":"Assessing Distribution Shift in Human Activity Recognition for Domain Generalization","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2608.05782","title":"VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2609.14863","title":"Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2610.02711","title":"Characterizing the Performance Gap in Human Activity Recognition for Older Adults","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}