conftrace_

dataset condensation

30 papers

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Also known as

DC

Co-occurring keywords

synthetic datum (765) synthetic dataset (169) distribution matching (127) gradient matching (36) data efficiency (125) data compression (49) synthetic data generation (590) continual learning (1181) image classification (1944) dataset compression (9)

Papers

DiRe: Diversity-promoting Regularization for Dataset Condensation WACV 2026
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization WACV 2026
Post Training Quantization for Efficient Dataset Condensation AAAI 2026
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck AAAI 2025
Decomposed Distribution Matching in Dataset Condensation WACV 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025
Condensing Action Segmentation Datasets via Generative Network Inversion CVPR 2025
Robust Dataset Condensation using Supervised Contrastive Learning ICCV 2025
Fetch and Forge: Efficient Dataset Condensation for Object Detection NIPS 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024
Effective Data Distillation for Tabular Datasets (Student Abstract) AAAI 2024
GC-Bench: An Open and Unified Benchmark for Graph Condensation NIPS 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation IJCAI 2024
Elucidating the Design Space of Dataset Condensation NIPS 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting NIPS 2024
Improved Distribution Matching for Dataset Condensation CVPR 2023
Slimmable 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
Dataset Condensation With Distribution Matching WACV 2023
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning NIPS 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets NIPS 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective NIPS 2023
Privacy for Free: How does Dataset Condensation Help Privacy? ICML 2022