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"

25 / 25 papers shown

Title
When Dynamic Data Selection Meets Data Augmentation S. M. I. Simon X. Yang Peng Ye F. Shen Dongzhan Zhou 24 0 0 02 May 2025
Latent Video Dataset Distillation Ning Li Antai Andy Liu Jingran Zhang Justin Cui DD VGen 65 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 24 0 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 57 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 83 2 0 10 Feb 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 59 0 0 20 Jan 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 142 2 0 10 Jan 2025
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification Zi Yang Haojin Yang Soumajit Majumder Jorge M. Cardoso Guillermo Gallego MoMe VLM 93 1 0 13 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 146 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 35 2 0 23 Oct 2024
Accelerating Deep Learning with Fixed Time Budget Muhammad Asif Khan R. Hamila Hamid Menouar 28 0 0 03 Oct 2024
Unsupervised Domain Adaptation Via Data Pruning Andrea Napoli Paul White 36 1 0 18 Sep 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 56 1 0 17 Jun 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 19 21 0 26 Dec 2023
Deeper Understanding of Black-box Predictions via Generalized Influence Functions Hyeonsu Lyu Jonggyu Jang Sehyun Ryu H. Yang TDI AI4CE 18 5 0 09 Dec 2023
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection Devleena Das Vivek Khetan 21 0 0 25 Oct 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning A. Maharana Prateek Yadav Mohit Bansal 24 28 0 11 Oct 2023
GIO: Gradient Information Optimization for Training Dataset Selection Dante Everaert Christopher Potts 21 3 0 20 Jun 2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks Jean-Michel Attendu Jean-Philippe Corbeil 28 15 0 05 Jun 2023
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 28 98 0 15 Jun 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 196 288 0 16 Feb 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 210 322 0 16 Jan 2021
Single-View 3D Object Reconstruction from Shape Priors in Memory Shuo Yang Min Xu Haozhe Xie Stuart Perry H. Yao 3DV 134 8 0 08 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 188 1,027 0 06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017