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
Provably Improving Generalization of Few-Shot Models with Synthetic Data	Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh	2025	arxiv 2505.24190
Data Safety: Synthetic Data Quality Analysis Using CIFAKE Dataset	Kuniko Paxton, Amila Akagić, Koorosh Aslansefat	2026	arxiv 2607.12165
AdaFamily: A family of Adam-like adaptive gradient methods	Hannes Fassold	2022	arxiv 2203.01603
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection	Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Gaber	2020	arxiv 2007.11450
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels	Mou-Cheng Xu, Yukun Zhou, Chen Jin	2021	arxiv 2110.12179
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks	Linhai Ma, Liang Liang	2020	arxiv 2005.09147
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors	Lingqiao Liu, Chunhua Shen, Lei Wang	2014	arxiv 1411.6406
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent	Michael Kohler, Adam Krzyzak, Benjamin Walter	2024	arxiv 2405.07619
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks	Alessandro Giusti, Dan C. Cireşan, Jonathan Masci	2013	arxiv 1302.1700
Differentiable Channel Sparsity Search via Weight Sharing within Filters