dataset pruning

FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction AAAI 2026 UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective AAAI 2026 Exploring Learning Complexity for Efficient Downstream Dataset Pruning ICLR 2025 Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty ICML 2025 Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets ICLR 2025 RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning UAI 2025 SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency ICCV 2025 Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding COLING 2025 Training-Free Dataset Pruning for Instance Segmentation ICLR 2025 Training-Free Dataset Pruning for Polyp Segmentation via Community Detection in Similarity Networks MIDL 2025 Effective pruning of web-scale datasets based on complexity of concept clusters ICLR 2024 FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication CVPR 2024 Sieve: Multimodal Dataset Pruning using Image Captioning Models CVPR 2024 Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024 Coverage-centric Coreset Selection for High Pruning Rates ICLR 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence ICLR 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NeurIPS 2023 Self-Supervised Dataset Pruning for Efficient Training in Audio Anti-spoofing Interspeech 2023 You Only Condense Once: Two Rules for Pruning Condensed Datasets NeurIPS 2023 Dataset Pruning for Resource-constrained Spoofed Audio Detection Interspeech 2022