Research

Papers for “image classification”

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

Title	Authors	Year	Source
On the importance of multiple training seeds for evaluating machine unlearning	Jamie Lanyon, Axel Finke, Petros Andreou	2025	arxiv 2510.26714
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	Yu Zhao, Chung-Kuei Lee	2020	arxiv 2010.14714
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications	Imme Ebert-Uphoff, Kyle A. Hilburn	2020	arxiv 2005.03126
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders	Harshana Habaragamuwa, Yu Oishi, Kenichi Tanaka	2021	arxiv 2102.03082
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models	Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy	2022	arxiv 2210.06475
Is Differentiable Architecture Search truly a One-Shot Method?	Jonas Geiping, Jovita Lukasik, Margret Keuper	2021	arxiv 2108.05647
Machine Learning for Brain Disorders: Transformers and Visual Transformers	Robin Courant, Maika Edberg, Nicolas Dufour	2023	arxiv 2303.12068
Explainable Knowledge Distillation for On-device Chest X-Ray Classification	Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul	2023	arxiv 2305.06244
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks	Seyedsaman Emami, Gonzalo Martínez-Muñoz	2023	arxiv 2302.11327
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection	Raghav Gurbaxani, Shivank Mishra	2018	arxiv 1808.01452
An Effective Label Noise Model for DNN Text Classification	Ishan Jindal, Daniel Pressel, Brian Lester	2019	arxiv 1903.07507
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness	Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara	2017	arxiv 1702.03505

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