Topic: dataset-distillation Goto Github
Some thing interesting about dataset-distillation
Some thing interesting about dataset-distillation
dataset-distillation,Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
User: asafshul
Home Page: https://vision.huji.ac.il/podd/
dataset-distillation,[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
User: chandlerbang
Home Page: https://www.cs.emory.edu/~wjin30/files/GCond.pdf
dataset-distillation,[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
Organization: emory-melody
Home Page: https://arxiv.org/abs/2402.03358
dataset-distillation,A collection of dataset distillation papers.
User: enkiwang
dataset-distillation,An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023
User: ennengyang
Home Page: https://openreview.net/pdf?id=Murj6wcjRw
dataset-distillation,Dataset Distillation on 3D Point Clouds using Gradient Matching
User: kghandour
dataset-distillation,Code for Backdoor Attacks Against Dataset Distillation
User: liuyugeng
dataset-distillation,ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
Organization: nus-hpc-ai-lab
Home Page: https://gzyaftermath.github.io/DATM/
dataset-distillation,Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
Organization: snu-mllab
dataset-distillation,(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.
Organization: vila-lab
dataset-distillation,[ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baharan Mirzasoleiman
Organization: vita-group
dataset-distillation,Awesome Graph Condensation Papers
User: xygaog
dataset-distillation,Continual Learning code for SRe2L paper (NeurIPS 2023 spotlight)
User: zeyuanyin
Home Page: https://zeyuanyin.github.io/projects/SRe2L/
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