Research

Papers for “image classification”

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

Title	Authors	Year	Source
Neural Style Transfer for Synthesising a Dataset of Ancient Egyptian Hieroglyphs	Lewis Matheson Creed	2025	arxiv 2504.02163
Kolmogorov-Arnold networks for metal surface defect classification	Maciej Krzywda, Mariusz Wermiński, Szymon \Lukasik	2025	arxiv 2501.06389
Scalable Bayesian neural networks by layer-wise input augmentation	Trung Trinh, Samuel Kaski, Markus Heinonen	2020	arxiv 2010.13498
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization	Christina Runkel, Christian Etmann, Michael Möller	2021	arxiv 2102.06496
Pixel-level Correspondence for Self-Supervised Learning from Video	Yash Sharma, Yi Zhu, Chris Russell	2022	arxiv 2207.03866
Imbalanced Classification in Medical Imaging via Regrouping	Le Peng, Yash Travadi, Rui Zhang	2022	arxiv 2210.12234
Committees of deep feedforward networks trained with few data	Bogdan Miclut, Thomas Kaester, Thomas Martinetz	2014	arxiv 1406.5947
Vector Quantization by Minimizing Kullback-Leibler Divergence	Lan Yang, Jingbin Wang, Yujin Tu	2015	arxiv 1501.07681
Deep Learning: Generalization Requires Deep Compositional Feature Space Design	Mrinal Haloi	2017	arxiv 1706.01983
Uncovering doubly charged scalars with dominant three-body decays using machine learning	Thomas Flacke, Jeong Han Kim, Manuel Kunkel	2023	arxiv 2304.09195
Automated Source Classification using a Kohonen Network	Petri Mahonen, Pasi Hakala	1995	arxiv astro-ph/9508019
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders	Daniel Dimanov, Emili Balaguer-Ballester, Colin Singleton	2021	arxiv 2106.11914
Prior Distribution and Model Confidence	Maksim Kazanskii, Artem Kasianov	2025	arxiv 2509.05485
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping	Kira Vinogradova, Alexandr Dibrov, Gene Myers	2020	arxiv 2002.11434
Using Multiple Instance Learning to Build Multimodal Representations	Peiqi Wang, William M. Wells, Seth Berkowitz	2022	arxiv 2212.05561
clustering an african hairstyle dataset using pca and k-means	Teffo Phomolo Nicrocia, Owolawi Pius Adewale, Pholo Moanda Diana	2023	arxiv 2306.06061
What Does a TextCNN Learn?	Linyuan Gong, Ruyi Ji	2018	arxiv 1801.06287
Detecting Adversarial Perturbations with Saliency	Chiliang Zhang, Zhimou Yang, Zuochang Ye	2018	arxiv 1803.08773
Neural Network Compression using Transform Coding and Clustering	Thorsten Laude, Yannick Richter, Jörn Ostermann	2018	arxiv 1805.07258
Fast, Better Training Trick -- Random Gradient	Jiakai Wei	2018	arxiv 1808.04293

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