v1v2 (latest)

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

19 May 2022

Zeke Xie

Papers citing "Dataset Pruning: Reducing Training Data by Examining Generalization Influence"

50 / 52 papers shown

Title
Latent Video Dataset Distillation Ning Li Antai Andy Liu Jingran Zhang Justin Cui DD VGen 129 0 0 23 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 56 1 0 10 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 151 0 0 01 Apr 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Zhihui Guo Zhiming Liu Qianli Ren Yuexian Zou 178 6 0 10 Feb 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 119 0 0 20 Jan 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 198 8 0 10 Jan 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 481 0 0 01 Dec 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 139 8 0 23 Oct 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 127 1 0 17 Jun 2024
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 91 111 0 15 Jun 2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels Kaidi Wang Xiang Peng Shuo Yang Jianfei Yang Zheng Hua Zhu Xinchao Wang Yang You NoLa 53 8 0 30 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 185 395 0 22 Mar 2022
Phenomenology of Double Descent in Finite-Width Neural Networks Sidak Pal Singh Aurelien Lucchi Thomas Hofmann Bernhard Schölkopf 52 9 0 14 Mar 2022
PartImageNet: A Large, High-Quality Dataset of Parts Ju He Shuo Yang Shaokang Yang Adam Kortylewski Xiaoding Yuan Jieneng Chen Shuai Liu Cheng Yang Qihang Yu Alan Yuille 3DV MLLM 3DH VLM 110 98 0 02 Dec 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 105 162 0 14 Oct 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 77 308 0 08 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 98 236 0 27 Jul 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 119 461 0 15 Jul 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 263 303 0 16 Feb 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 283 329 0 16 Jan 2021
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 156 246 0 30 Oct 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 85 110 0 15 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 118 503 0 10 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 80 238 0 06 Jun 2020
Single-View 3D Object Reconstruction from Shape Priors in Memory Shuo Yang Min Xu Haozhe Xie Stuart Perry Huanjin Yao 3DV 168 8 0 08 Mar 2020
Adaptive Semantic-Visual Tree for Hierarchical Embeddings Shuo Yang Wei Yu Ying Zheng Huanjin Yao Tao Mei 234 17 0 08 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 275 1,053 0 06 Mar 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 88 79 0 16 Jan 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data F. Such Aditya Rawal Joel Lehman Kenneth O. Stanley Jeff Clune DD 70 157 0 17 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 315 2,392 0 11 Nov 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 139 135 0 06 Oct 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 81 885 0 25 Jun 2019
On the Accuracy of Influence Functions for Measuring Group Effects Pang Wei Koh Kai-Siang Ang H. Teo Percy Liang TDI 86 195 0 30 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,768 0 08 Apr 2019
Gradient based sample selection for online continual learning Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio BDL CLL 104 837 0 20 Mar 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 128 741 0 12 Dec 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 38 1,474 0 11 Oct 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,160 0 25 Jul 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,557 0 05 Sep 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 186 5,608 0 21 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 207 2,406 0 10 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,154 0 15 Mar 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 219 2,910 0 14 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 160 3,781 0 23 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 796 36,881 0 25 Aug 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,333 0 13 Jun 2016
Second-Order Stochastic Optimization for Machine Learning in Linear Time Naman Agarwal Brian Bullins Elad Hazan ODL 64 102 0 12 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014