FYI: Flip Your Images for Dataset Distillation

FYI: Flip Your Images for Dataset Distillation

11 July 2024

Papers citing "FYI: Flip Your Images for Dataset Distillation"

18 / 18 papers shown

Title
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 106 64 0 29 Sep 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 88 137 0 19 Nov 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 464 168 0 30 May 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 170 387 0 22 Mar 2022
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 68 303 0 08 Oct 2021
Co $^2$ L: Contrastive Continual Learning Hyuntak Cha Jaeho Lee Jinwoo Shin CLL SSL VLM 97 301 0 28 Jun 2021
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 604 4,766 0 13 May 2019
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 75 296 0 27 Nov 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 185 4,345 0 24 Jun 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 176 1,367 0 02 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,129 0 25 Apr 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 98 2,762 0 09 Feb 2018
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 170 5,595 0 21 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 162 2,393 0 10 Jul 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 129 3,741 0 23 Nov 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,399 0 17 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 225 9,298 0 14 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014