Embarassingly Simple Dataset Distillation

13 November 2023

Papers citing "Embarassingly Simple Dataset Distillation"

19 / 19 papers shown

Title
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 159 12 0 15 Jun 2024
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 82 91 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 81 76 0 11 Jan 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
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? Nikolaos Tsilivis Julia Kempe AAML 70 20 0 11 Oct 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments Rui Song Dai Liu Da Chen Andreas Festag Carsten Trinitis Martin Schulz Alois C. Knoll DD FedML 79 62 0 24 Aug 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 74 18 0 24 Jul 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 69 157 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 472 168 0 30 May 2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning Shengyuan Hu Jack Goetz Kshitiz Malik Hongyuan Zhan Zhe Liu Yue Liu DD FedML 67 39 0 04 Apr 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 75 303 0 08 Oct 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 105 457 0 15 Jul 2021
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 106 414 0 06 Nov 2019
Introduction to Coresets: Accurate Coresets Ibrahim Jubran Alaa Maalouf Dan Feldman 26 26 0 19 Oct 2019
Limitations of Lazy Training of Two-layers Neural Networks Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari MLT 55 143 0 21 Jun 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 107 733 0 12 Dec 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 99 266 0 25 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 811 11,894 0 09 Mar 2017