dataset condensation

DiRe: Diversity-promoting Regularization for Dataset Condensation WACV 2026 Post Training Quantization for Efficient Dataset Condensation AAAI 2026 SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization WACV 2026 Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck AAAI 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Condensing Action Segmentation Datasets via Generative Network Inversion CVPR 2025 Decomposed Distribution Matching in Dataset Condensation WACV 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025 Robust Dataset Condensation using Supervised Contrastive Learning ICCV 2025 Ameliorate Spurious Correlations in Dataset Condensation ICML 2024 CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting NeurIPS 2024 DANCE: Dual-View Distribution Alignment for Dataset Condensation IJCAI 2024 Effective Data Distillation for Tabular Datasets (Student Abstract) AAAI 2024 Elucidating the Design Space of Dataset Condensation NeurIPS 2024 Fetch and Forge: Efficient Dataset Condensation for Object Detection NeurIPS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NeurIPS 2024 M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024 Multisize Dataset Condensation ICLR 2024 Toward Data Efficient Model Merging between Different Datasets without Performance Degradation ACML 2024 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning NeurIPS 2023 Dataset Condensation With Distribution Matching WACV 2023 Improved Distribution Matching for Dataset Condensation CVPR 2023 Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023 RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching UAI 2023 Slimmable Dataset Condensation CVPR 2023