sample selection

Automatic debiased machine learning and sensitivity analysis for sample selection models CLeaR 2026 Debiased Sample Selection for Learning with Noisy Labels CVPR 2026 Dynamic Important Example Mining for Reinforcement Finetuning CVPR 2026 EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training AAAI 2026 Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement AAAI 2026 Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection CVPR 2026 Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing UAI 2026 Online Data Curation for Object Detection via Marginal Contributions to Dataset-level Average Precision CVPR 2026 Remembrall: Leaning into Memory for Accurate Video Analytics on System-on-Chip GPUs NSDI 2026 Rethinking Knowledge Transfer in Image Quality Assessment: A Perceptual Preference Structure Alignment Perspective CVPR 2026 Active Learning for Continual Learning: Keeping the Past Alive in the Present ICLR 2025 Active Learning for Multidialectal Arabic POS Tagging EMNLP 2025 ADAM Optimization with Adaptive Batch Selection ICLR 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation ICCV 2025 Deep Electromagnetic Structure Design Under Limited Evaluation Budgets ICML 2025 Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning ICCV 2025 Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data AAAI 2025 EVOS: Efficient Implicit Neural Training via EVOlutionary Selector CVPR 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 Federated Learning with Sample-level Client Drift Mitigation AAAI 2025 Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025 From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision ICCV 2025 GATEAU: Selecting Influential Samples for Long Context Alignment EMNLP 2025 Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation AAAI 2025