SOTA2 Research · papers

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
Horizontal muon track identification with neural networks in HAWC	J. R. Angeles Camacho, H. León Vargas	2021	arxiv 2107.14475
Partial local entropy and anisotropy in deep weight spaces	Daniele Musso	2020	arxiv 2007.09091
Harnessing Photon Indistinguishability in Quantum Extreme Learning Machines	Malo Joly, Adrian Makowski, Baptiste Courme	2025	arxiv 2505.11238
Multicolor localization microscopy by deep learning	Eran Hershko, Lucien E. Weiss, Tomer Michaeli	2018	arxiv 1807.01637
Stochastic gradient descent with random learning rate	Daniele Musso	2020	arxiv 2003.06926
Parameter Re-Initialization through Cyclical Batch Size Schedules	Norman Mu, Zhewei Yao, Amir Gholami	2018	arxiv 1812.01216
A statistical theory of cold posteriors in deep neural networks	Laurence Aitchison	2020	arxiv 2008.05912
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov	2020	arxiv 2010.11929
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer	Ao Chen, Chen Li, Haoyuan Chen	2021	arxiv 2106.01927
Constraint-Based Regularization of Neural Networks	Benedict Leimkuhler, Timothée Pouchon, Tiffany Vlaar	2020	arxiv 2006.10114