Research

Papers for “image classification”

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

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
SoftReMish: A Novel Activation Function for Enhanced Convolutional Neural Networks for Visual Recognition Performance	Mustafa Bayram Gücen	2025	arxiv 2507.06148
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models	Keyu Chen, Ziqian Bi, Qian Niu	2024	arxiv 2409.13566
Learning What Helps: Task-Aligned Context Selection for Vision Tasks	Jingyu Guo, Emir Konuk, Fredrik Strand	2025	arxiv 2512.00489
Reversible Deep Equilibrium Models	Sam McCallum, Kamran Arora, James Foster	2025	arxiv 2509.12917
Semi-Supervised Contrastive Learning with Orthonormal Prototypes	Huanran Li, Manh Nguyen, Daniel Pimentel-Alarcón (3) __INSTITUTION_3__ Department of Electrical Engineering	2025	arxiv 2512.07880
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings	Daniel Kvak	2022	arxiv 2210.15300
Revisiting Neural Scaling Laws in Language and Vision	Ibrahim Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai	2022	arxiv 2209.06640
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding	Ronald Katende	2024	arxiv 2409.07310
Exploring Liquid Neural Networks on Loihi-2	Wiktoria Agata Pawlak, Murat Isik, Dexter Le	2024	arxiv 2407.20590
An Energy-Efficient Adiabatic Capacitive Neural Network Chip	Himadri Singh Raghav, Sachin Maheshwari, Mike Smart	2025	arxiv 2512.14642

Search results