{"total":27,"rows":[{"id":"2205.12679","title":"Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning","created":"2022-05-25","cited_by_count":50,"area":null},{"id":"2302.07173","title":"An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning","created":"2023-02-14","cited_by_count":32,"area":null},{"id":"2207.05471","title":"Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets","created":"2022-07-12","cited_by_count":28,"area":null},{"id":"2105.04051","title":"Aggregating From Multiple Target-Shifted Sources","created":"2021-05-09","cited_by_count":24,"area":null},{"id":"2207.11971","title":"Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer","created":"2022-07-25","cited_by_count":21,"area":null},{"id":"2102.06004","title":"Fairness-Aware PAC Learning from Corrupted Data","created":"2021-02-11","cited_by_count":18,"area":null},{"id":"2207.14476","title":"Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels","created":"2022-07-29","cited_by_count":16,"area":null},{"id":"2101.05880","title":"Auto-weighted Robust Federated Learning with Corrupted Data Sources","created":"2021-01-14","cited_by_count":12,"area":null},{"id":"2112.14233","title":"Multitask Learning and Bandits via Robust Statistics","created":"2021-12-28","cited_by_count":11,"area":null},{"id":"2204.07373","title":"Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning","created":"2022-04-15","cited_by_count":7,"area":null},{"id":"2304.02064","title":"Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation","created":"2023-04-04","cited_by_count":7,"area":null},{"id":"2305.05816","title":"Best-Effort Adaptation","created":"2023-05-10","cited_by_count":7,"area":null},{"id":"2310.17761","title":"Distributed Personalized Empirical Risk Minimization","created":"2023-10-26","cited_by_count":6,"area":null},{"id":"2306.07621","title":"Rank-Aware Negative Training for Semi-Supervised Text Classification","created":"2023-06-13","cited_by_count":3,"area":null},{"id":"2403.13565","title":"AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression","created":"2024-03-20","cited_by_count":3,"area":null},{"id":"2110.11619","title":"DistFL: Distribution-aware Federated Learning for Mobile Scenarios","created":"2021-10-22","cited_by_count":2,"area":null},{"id":"2402.10445","title":"Collaborative Learning with Different Labeling Functions","created":"2024-02-16","cited_by_count":2,"area":null},{"id":"2505.01075","title":"Federated Adapter on Foundation Models: An Out-Of-Distribution Approach","created":"2025-05-02","cited_by_count":2,"area":null},{"id":"2206.09375","title":"Gray Learning from Non-IID Data with Out-of-distribution Samples","created":"2022-06-19","cited_by_count":1,"area":null},{"id":"2309.10736","title":"Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2310.16678","title":"Robust and Actively Secure Serverless Collaborative Learning","created":"2023-10-25","cited_by_count":1,"area":null},{"id":"2607.23394","title":"Inference-Time Consensus for Mitigating Hidden Behaviors from LLM Fine-Tuning","created":"2026-07-25","cited_by_count":1,"area":null},{"id":"2101.06171","title":"Probabilistic Inference for Learning from Untrusted Sources","created":"2021-01-15","cited_by_count":0,"area":null},{"id":"2106.11732","title":"FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data","created":"2021-06-22","cited_by_count":0,"area":null},{"id":"2310.01109","title":"R-divergence for Estimating Model-oriented Distribution Discrepancy","created":"2023-10-02","cited_by_count":0,"area":null},{"id":"2410.02512","title":"SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation","created":"2024-10-03","cited_by_count":0,"area":null},{"id":"2507.17008","title":"Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models","created":"2025-07-22","cited_by_count":0,"area":null}],"next_cursor":null}