Research

Papers for “image classification”

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

Title	Authors	Year	Source
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes	Afonso Menegola, Michel Fornaciali, Ramon Pires	2016	arxiv 1609.01228
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses	Yandan Wang, Wei Wen, Linghao Song	2017	arxiv 1701.01791
Spatially Adaptive Computation Time for Residual Networks	Michael Figurnov, Maxwell D. Collins, Yukun Zhu	2016	arxiv 1612.02297
Supervised Infinite Feature Selection	Sadegh Eskandari, Emre Akbas	2017	arxiv 1704.02665
Comparative Study on Generative Adversarial Networks	Saifuddin Hitawala	2018	arxiv 1801.04271
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations	Michael Harradon, Jeff Druce, Brian Ruttenberg	2018	arxiv 1802.00541
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users	Stefano Teso, Kristian Kersting	2018	arxiv 1805.08578
The Alpha-Beta-Symetric Divergence and their Positive Definite Kernel	Mactar Ndaw, Macoumba Ndour, Papa Ngom	2018	arxiv 1803.00001
When majority rules, minority loses: bias amplification of gradient descent	François Bachoc, Jérôme Bolte, Ryan Boustany	2025	arxiv 2505.13122
Graph Linear Canonical Transform: Definition, Vertex-Frequency Analysis and Filter Design	Jian Yi Chen, Bing Zhao Li	2024	arxiv 2407.12046
Machine Learning and Quantum Devices	Florian Marquardt	2021	arxiv 2101.01759
TensorNetwork for Machine Learning	Stavros Efthymiou, Jack Hidary, Stefan Leichenauer	2019	arxiv 1906.06329
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions	Pranav Kairon, Siddhartha Bhattacharyya	2020	arxiv 2008.07617
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers	Xuyang Zhong, Haochen Luo, Chen Liu	2025	arxiv 2504.15827
DNNs, Dataset Statistics, and Correlation Functions	Robert W. Batterman, James F. Woodward	2025	arxiv 2511.21715
Fair Indivisible Payoffs through Shapley Value	Miko\laj Czarnecki, Micha\l Korniak, Oskar Skibski	2025	arxiv 2510.24906
Demystifying KAN for Vision Tasks: The RepKAN Approach	Minjong Cheon	2026	arxiv 2603.06002
HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting	Songfeng Zhu	2026	arxiv 2603.20292
A Programmer's Guide to Cascaded Adaptive Combiners: Online Learning by Biologically Accurate Models of Multilayer Neuron Networks	Martin Nilsson, Denis Kleyko	2026	arxiv 2606.14146
Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts	Guangyi Zhang, Yunlong Cai, Guanding Yu	2026	arxiv 2602.02229

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