Towards Sustainable Learning: Coresets for Data-efficient Deep Learning

2 June 2023

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

8 / 8 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
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 97 1 0 04 Feb 2025
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 67 2 0 03 Oct 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Joey Tianyi Zhou 37 7 0 22 Nov 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 39 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 86 188 0 27 Feb 2021
Stochastic Nonconvex Optimization with Large Minibatches Weiran Wang Nathan Srebro 34 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 287 39,194 0 01 Sep 2014