CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication

23 August 2021

Papers citing "CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication"

8 / 8 papers shown

Title
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models Alireza Aghabagherloo Aydin Abadi Sumanta Sarkar Vishnu Asutosh Dasu Bart Preneel AAML 118 1 0 01 Apr 2025
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 877 42,379 0 28 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
Augmentor: An Image Augmentation Library for Machine Learning Marcus D. Bloice Christof Stocker Andreas Holzinger 47 265 0 11 Aug 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,685 0 08 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
An Introduction to Convolutional Neural Networks K. O’Shea Ryan Nash FaML HAI 82 3,159 0 26 Nov 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 426 43,814 0 01 May 2014