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
Deep Learning: An Introduction for Applied Mathematicians	Catherine F. Higham, Desmond J. Higham	2018	arxiv 1801.05894
Online Learning to Sample	Guillaume Bouchard, Théo Trouillon, Julien Perez	2015	arxiv 1506.09016
Decentralized SGD with Over-the-Air Computation	Emre Ozfatura, Stefano Rini, Deniz Gunduz	2020	arxiv 2003.04216
Scalable Second Order Optimization for Deep Learning	Rohan Anil, Vineet Gupta, Tomer Koren	2020	arxiv 2002.09018
Training thermodynamic computers by gradient descent	Stephen Whitelam	2025	arxiv 2509.15324
Model-based feature selection for neural networks: A mixed-integer programming approach	Shudian Zhao, Calvin Tsay, Jan Kronqvist	2023	arxiv 2302.10344
An optically accelerated extreme learning machine using hot atomic vapors	Pierre Azam, Robin Kaiser	2024	arxiv 2409.04312
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound	Minglang Chen, Jie He, Caixu Xu	2025	arxiv 2506.06054
Hierarchical Feature-level Reverse Propagation for Post-Training Neural Networks	Ni Ding, Lei He, Shengbo Eben Li	2025	arxiv 2506.07188
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification	Jintao Yan, Tan Chen, Yuxuan Sun	2025	arxiv 2506.07328
Improving Memory Efficiency for Training KANs via Meta Learning

Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples	Fadel M. Megahed, Ying-Ju Chen, Bianca Maria Colosimo	2025	arxiv 2501.12596