DatasetFactorization
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PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
hi, thanks for the great work. I was wondering why there is a difference in results between the two tables (Tab.1 & 2) for CIFAR10 MTT 1IPC? in Tab.1, it...
Hi. To update the feature extractor (sim_content_net in code), I'm not sure what is likeli_content_loss (in distill_fac.py) There are already two losses (1) cls_content_loss and (2) contrast_content_loss (= L_{task} and...
Hi I believe that in run_cifar10_ipc1_style5.sh parameter ipc should be set to the value of 1 in order to reproduce the result from the paper ( 48.3±0.8) and to be...