sample selection

Multi-Classifier Adversarial Optimization for Active Learning AAAI 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023 Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023 OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels CVPR 2023 RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels ICCV 2023 Regularizing Second-Order Influences for Continual Learning CVPR 2023 SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023 Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation ACL 2023 Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023 Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation ACL 2023 Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization ICCV 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification EMNLP 2022 Dynamic Nonlinear Mixup with Distance-based Sample Selection COLING 2022 Identifying Wrongly Predicted Samples: A Method for Active Learning WACV 2022 Online Coreset Selection for Rehearsal-based Continual Learning ICLR 2022 Probabilistic Bilevel Coreset Selection ICML 2022 Sample Selection with Uncertainty of Losses for Learning with Noisy Labels ICLR 2022 Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels CVPR 2022 Shape-Adaptive Selection and Measurement for Oriented Object Detection AAAI 2022 UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning CVPR 2022 Which Images To Label for Few-Shot Medical Landmark Detection? CVPR 2022 Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment AAAI 2021 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021 Debiased Subjective Assessment of Real-World Image Enhancement CVPR 2021