Fetching the paper…
Reading the bibliography…
CIFAR-10 is among the most widely used datasets in machine learning, facilitating thousands of research projects per year.
A stochastic approximation method
Herbert Robbins and Sutton Monro · 1951
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Cifar-100 and cifar-10 (canadian institute for advanced research), 2009
Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton · 2009
Earlier work this paper cites.
High-performance neural networks for visual object classification
Dan C Cireşan, Ueli Meier, Jonathan Masci, Luca M Gambardella, and Jürgen Schmidhuber · 2011
Earlier work this paper cites.
Reading digits in natural images with unsupervised feature learning
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Baolin Wu, Andrew Y Ng, et al · 2011
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2014
Earlier work this paper cites.
Convex optimization algorithms
Dimitri Bertsekas · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
Cited alongside, same era.
Sergey Zagoruyko and Nikos Komodakis · 2016
Cited alongside, same era.
Dawnbench: An end-to-end deep learning benchmark and competition
Cody Coleman, Deepak Narayanan, Daniel Kang, Tian Zhao, Jian Zhang, Luigi Nardi, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia · 2017
Cited alongside, same era.
Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 2017
Cited alongside, same era.
Cinic-10 is not imagenet or cifar-10
Luke N Darlow, Elliot J Crowley, Antreas Antoniou, and Amos J Storkey · 2018
Why random reshuffling beats stochastic gradient descent
Mert Gürbüzbalaban, Asu Ozdaglar, and Pablo A Parrilo · 2021
Later among the works it cites.
Assessing generalization of sgd via disagreement
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, and J Zico Kolter · 2021
Later among the works it cites.
Datamodels: Predicting predictions from training data
Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, and Aleksander Madry · 2022
Later among the works it cites.
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain Durif, Cassio F Dantas, et al · 2022
Later among the works it cites.
Calibrated chaos: Variance between runs of neural network training is harmless and inevitable
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
How to train your resnet 8: Back of tricks, 2019
David Page · 2019
Cited alongside, same era.
ml-cifar-10-faster
Santiaga Serrano, Hadi Ansari, Vipul Gupta, and Dennis DeCoste · 2019
Cited alongside, same era.
Fixing the train-test resolution discrepancy
Hugo Touvron, Andrea Vedaldi, Matthijs Douze, and Hervé Jégou · 2019
Cited alongside, same era.
Lookahead optimizer: k steps forward, 1 step back
Michael Zhang, James Lucas, Jimmy Ba, and Geoffrey E Hinton · 2019
Cited alongside, same era.
Keller Jordan · 2023
Later among the works it cites.
Ffcv: Accelerating training by removing data bottlenecks
Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, and Aleksander Mądry · 2023
Later among the works it cites.
Cifar10 hyperlightspeedbench
tysam-code · 2023
Later among the works it cites.
Lessons learned from manually classifying cifar-10
Andrej Karpathy · 2024
Closest in time.