dataset-distillation topic
GCond
[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
awesome-graph-reduction
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
baadd
Code for Backdoor Attacks Against Dataset Distillation
SRe2L
(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.
PoDD
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
Efficient-Dataset-Condensation
Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
DATM
ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching