sample selection

In-Context Learning on a Budget: A Case Study in Token Classification NAACL 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025 Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus Interspeech 2025 JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning EMNLP 2025 Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025 LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis ACL 2025 Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning NAACL 2025 Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025 On the Role of Label Noise in the Feature Learning Process ICML 2025 Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection Interspeech 2025 Scale Efficient Training for Large Datasets CVPR 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation EMNLP 2025 When The MOS Predictor Asks For Training Annotation In Cross Lingual/Domain Adaptation Interspeech 2025 ActiveDC: Distribution Calibration for Active Finetuning CVPR 2024 Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure MIDL 2024 Active Test-Time Adaptation: Theoretical Analyses and An Algorithm ICLR 2024 CoLAL: Co-learning Active Learning for Text Classification AAAI 2024 Collaborative Refining for Learning from Inaccurate Labels NeurIPS 2024 Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024 ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024 Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection NeurIPS 2024 Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors ICLR 2024 InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024 Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss IJCAI 2024