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
Feedback Control for Online Training of Neural Networks	Zilong Zhao, Sophie Cerf, Bogdan Robu	2019	arxiv 1911.07710
On instabilities of deep learning in image reconstruction - Does AI come at a cost?	Vegard Antun, Francesco Renna, Clarice Poon	2019	arxiv 1902.05300
Spatial Graph Convolutional Networks	Tomasz Danel, Przemys\law Spurek, Jacek Tabor	2019	arxiv 1909.05310
On Intrinsic Dataset Properties for Adversarial Machine Learning	Jeffrey Z. Pan, Nicholas Zufelt	2020	arxiv 2005.09170
Perceptual Hashing applied to Tor domains recognition	Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez	2020	arxiv 2005.10090
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search	Cristian Cioflan, Radu Timofte	2020	arxiv 2009.13940
Spatially-sparse convolutional neural networks	Benjamin Graham	2014	arxiv 1409.6070
Protecting the Neural Networks against FGSM Attack Using Machine Unlearning	Amir Hossein Khorasani, Ali Jahanian, Maryam Rastgarpour	2025	arxiv 2511.01377
Text-driven Prompt Generation for Vision-Language Models in Federated Learning	Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi	2023	arxiv 2310.06123
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models	Gianni Franchi, Olivier Laurent, Maxence Leguéry	2023	arxiv 2312.15297
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training