awesome-dataset-distillation

Dataset Distillation by Matching Training Trajectories, CVPR 2022, George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
DATASET DISTILLATION, axiv,
Tongzhou Wang
Flexible dataset distillation: Learn labels instead of images, NeurIPS 2020, Ondrej Bohdal, Yongxin Yang, Timothy Hospedales
Dataset Condensation with Gradient Matching, ICLR 2021, Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
Dataset Condensation with Contrastive Signals, ICML 2022, Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
Dataset Meta-Learning from Kernel Ridge-Regression, ICLR 2021, Timothy Nguyen, Zhourong Chen, Jaehoon Lee
Dataset Distillation with Infinitely Wide Convolutional Networks, NeurIPS 2021, Timothy Nguyen, Roman Novak, Lechao Xiao, Jaehoon Lee
CAFE: Learning to Condense Dataset by Aligning Features, CVPR 2022, Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You
Dataset Condensation with Differentiable Siamese Augmentation, ICML 2021, Bo Zhao, Hakan Bilen
Dataset Condensation via Efficient Synthetic-Data Parameterization, ICML 2022, Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
Soft-Label Dataset Distillation and Text Dataset Distillation), IJCNN 2021, Ilia Sucholutsky; Matthias Schonlau
Dataset Condensation with Distribution Matching, axiv, Bo Zhao, Hakan Bilen

dc nlp