Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning

28 May 2023

Patrik Okanovic

Vasilis Mageirakos

Konstantinos E. Nikolakakis

Dionysis Kalogerias

Nezihe Merve Gürel

Theodoros Rekatsinas

Papers citing "Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning"

16 / 16 papers shown

Title
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 43 0 0 02 Mar 2025
General Information Metrics for Improving AI Model Training Efficiency Jianfeng Xu Congcong Liu Xiaoying Tan Xiaojie Zhu Anpeng Wu ... Weijun Kong Chun Li Hu Xu Kun Kuang Fei Wu 62 0 0 02 Jan 2025
Gini Coefficient as a Unified Metric for Evaluating Many-versus-Many Similarity in Vector Spaces Ben Fauber 29 0 0 12 Nov 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 36 1 0 13 Mar 2024
DsDm: Model-Aware Dataset Selection with Datamodels Logan Engstrom Axel Feldmann A. Madry OODD 10 46 0 23 Jan 2024
SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling Habib Hajimolahoseini Omar Mohamed Awad Walid Ahmed Austin Wen Saina Asani ... Farnoosh Javadi Mehdi Ahmadi Foozhan Ataiefard Kangling Liu Yang Liu 19 2 0 25 Nov 2023
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Joey Tianyi Zhou 25 7 0 22 Nov 2023
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias 25 5 0 03 May 2023
Efficient Adversarial Training With Data Pruning Maximilian Kaufmann Yiren Zhao Ilia Shumailov Robert D. Mullins Nicolas Papernot AAML 30 7 0 01 Jul 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 378 158 0 30 May 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 161 645 0 27 Oct 2021
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
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 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 282 39,170 0 01 Sep 2014
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 166 683 0 07 Dec 2010