Data Distillation: A Survey

11 January 2023

Papers citing "Data Distillation: A Survey"

17 / 67 papers shown

Title
Towards Trustworthy Dataset Distillation Shijie Ma Fei Zhu Zhen Cheng Xu-Yao Zhang DD 35 14 0 18 Jul 2023
Distilled Pruning: Using Synthetic Data to Win the Lottery Luke McDermott Daniel Cummings SyDa DD 32 1 0 07 Jul 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 20 63 0 22 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 36 59 0 05 Jun 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 141 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 69 95 0 21 Oct 2022
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 34 20 0 29 Sep 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 71 45 0 28 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 386 158 0 30 May 2022
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 88 188 0 27 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 194 288 0 16 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 228 4,460 0 23 Jan 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 174 211 0 18 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 317 4,203 0 23 Aug 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 302 11,681 0 09 Mar 2017