Towards Sustainable Learning: Coresets for Data-efficient Deep Learning

2 June 2023

Papers citing "Towards Sustainable Learning: Coresets for Data-efficient Deep Learning"

26 / 26 papers shown

Title
When Dynamic Data Selection Meets Data Augmentation Steve Yang Peng Ye Furao Shen Dongzhan Zhou 42 0 0 02 May 2025
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity Mustafa Burak Gurbuz Xingyu Zheng C. Dovrolis OOD 45 0 0 07 Apr 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints Yuhao Zhou Yuxin Tian Jindi Lv Mingjia Shi Yuanxi Li Qing Ye Shuhao Zhang Jiancheng Lv CLL 74 0 0 15 Mar 2025
Data Efficient Subset Training with Differential Privacy Ninad Jayesh Gandhi Moparthy Venkata Subrahmanya Sri Harsha 58 0 0 09 Mar 2025
Poisoning Bayesian Inference via Data Deletion and Replication Matthieu Carreau Roi Naveiro William N. Caballero AAML KELM 61 0 0 06 Mar 2025
Subsampling Graphs with GNN Performance Guarantees Mika Sarkin Jain Stefanie Jegelka Ishani Karmarkar Luana Ruiz Ellen Vitercik 36 1 0 23 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 101 1 0 04 Feb 2025
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization Ankur Nath Alan Kuhnle 29 0 0 23 Oct 2024
Influential Language Data Selection via Gradient Trajectory Pursuit Zhiwei Deng Tao Li Yang Li 26 1 0 22 Oct 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection Steve Yang Peng Ye Wanli Ouyang Dongzhan Zhou Furao Shen 29 1 0 15 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 72 2 0 03 Oct 2024
A framework for measuring the training efficiency of a neural architecture Eduardo Cueto-Mendoza John D. Kelleher 46 0 0 12 Sep 2024
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification Yuxin Hong Xiao Zhang Xin Zhang Joey Tianyi Zhou 45 2 0 09 Jun 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges Hoyong Choi Nohyun Ki Hye Won Chung 29 2 0 05 Jun 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 34 2 0 11 May 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity Siddharth Joshi Arnav Jain Ali Payani Baharan Mirzasoleiman VLM CLIP 33 8 0 18 Mar 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models Yu Yang Siddhartha Mishra Jeffrey N Chiang Baharan Mirzasoleiman 40 18 0 12 Mar 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 37 7 0 22 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 38 1 0 25 Oct 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training Truong Thao Nguyen Balazs Gerofi Edgar Josafat Martinez-Noriega Franccois Trahay M. Wahib 32 1 0 16 Oct 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning Yihua Zhang Yimeng Zhang Aochuan Chen Jinghan Jia Jiancheng Liu Gaowen Liu Min-Fong Hong Shiyu Chang Sijia Liu AAML 37 8 0 13 Oct 2023
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality Xuxi Chen Yu Yang Zhangyang Wang Baharan Mirzasoleiman DD 31 12 0 10 Oct 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 50 12 0 28 May 2023
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 94 189 0 27 Feb 2021
Stochastic Nonconvex Optimization with Large Minibatches Weiran Wang Nathan Srebro 36 26 0 25 Sep 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 298 39,217 0 01 Sep 2014