Large-scale Dataset Pruning with Dynamic Uncertainty

8 June 2023

Papers citing "Large-scale Dataset Pruning with Dynamic Uncertainty"

23 / 23 papers shown

Title
DiffProb: Data Pruning for Face Recognition Eduarda Caldeira Jan Niklas Kolf Naser Damer Fadi Boutros 17 0 0 21 May 2025
When Dynamic Data Selection Meets Data Augmentation Steve Yang Peng Ye Furao Shen Dongzhan Zhou 47 0 0 02 May 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 258 0 0 24 Mar 2025
Scale Efficient Training for Large Datasets Qing Zhou Junyu Gao Qi Wang DD 83 0 0 17 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories M. Nagaraj Deepak Ravikumar Efstathia Soufleri Kaushik Roy 46 0 0 12 Mar 2025
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness Nathan G. Drenkow Mathias Unberath OOD 83 0 0 04 Mar 2025
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data Brent A. Griffin Jacob Marks Jason J. Corso VLM 84 2 0 22 Nov 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 216 0 0 07 Oct 2024
Are Sparse Neural Networks Better Hard Sample Learners? Q. Xiao Boqian Wu Lu Yin Christopher Neil Gadzinski Tianjin Huang Mykola Pechenizkiy Decebal Constantin Mocanu 45 1 0 13 Sep 2024
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation Jian Qian Miao Sun Sifan Zhou Ziyu Zhao Ruizhi Hun Patrick Chiang 53 1 0 08 Jul 2024
Dynamic Data Pruning for Automatic Speech Recognition Q. Xiao Pingchuan Ma Adriana Fernandez-Lopez Boqian Wu Lu Yin Stavros Petridis Mykola Pechenizkiy Maja Pantic Decebal Constantin Mocanu Shiwei Liu 36 2 0 26 Jun 2024
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler Jiang You Arben Cela René Natowicz Jacob Ouanounou Patrick Siarry AI4TS 61 0 0 19 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 47 2 0 19 Jun 2024
Effective pruning of web-scale datasets based on complexity of concept clusters Amro Abbas E. Rusak Kushal Tirumala Wieland Brendel Kamalika Chaudhuri Ari S. Morcos VLM CLIP 39 22 0 09 Jan 2024
Efficient Architecture Search via Bi-level Data Pruning Chongjun Tu Peng Ye Weihao Lin Hancheng Ye Chong Yu Tao Chen Baopu Li Wanli Ouyang 45 2 0 21 Dec 2023
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 42 8 0 22 Nov 2023
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints Xiaobo Xia Jiale Liu Shaokun Zhang Qingyun Wu Hongxin Wei Tongliang Liu 53 9 0 15 Nov 2023
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models Shaokun Zhang Xiaobo Xia Zhaoqing Wang Ling-Hao Chen Jiale Liu Qingyun Wu Tongliang Liu 44 20 0 16 Oct 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 43 3 0 24 Jul 2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning Ziheng Qin Kaidi Wang Zangwei Zheng Jianyang Gu Xiang Peng ... Daquan Zhou Lei Shang Baigui Sun Xuansong Xie Yang You 130 47 0 08 Mar 2023
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 155 108 0 19 May 2022
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 189 690 0 22 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 207 295 0 16 Feb 2021