Label-Augmented Dataset Distillation

24 September 2024

Hyunjung Shim

Papers citing "Label-Augmented Dataset Distillation"

22 / 22 papers shown

Title
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 74 1 0 16 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 86 76 0 09 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 138 67 0 29 Sep 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 82 42 0 13 Feb 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 88 78 0 11 Jan 2023
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du Yiding Jiang Vincent Y. F. Tan Qiufeng Wang Haizhou Li DD 94 119 0 20 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 100 143 0 19 Nov 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 88 159 0 01 Jun 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 508 168 0 30 May 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 188 395 0 22 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 270 512 0 01 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 520 15,788 0 20 Dec 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 79 308 0 08 Oct 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 156 161 0 17 Sep 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 87 110 0 15 Jun 2020
A Theory of Usable Information Under Computational Constraints Yilun Xu Shengjia Zhao Jiaming Song Russell Stewart Stefano Ermon 86 175 0 25 Feb 2020
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 97 297 0 27 Nov 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 66 1,131 0 25 Apr 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 357 20,136 0 07 Oct 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014