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Project Page | arXiv
The main features of georgecazenavette/linear-gradient-matching are: Self-Supervised Distillation.
Projects with overlapping indexed features include: jiayini1119/mkdt — Code for Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep… lins-lab/rela — [NeurIPS 2024] Efficiency for Free: Ideal Data Are Transportable Representations. vila-lab/sre2l — This is a collection of our work targeted at large-scale dataset distillation.
Code for Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
NeurIPS 2024 Efficiency for Free: Ideal Data Are Transportable Representations
This is a collection of our work targeted at large-scale dataset distillation.