Research

Papers for “image classification”

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

Title	Authors	Year	Source
SVD-Preconditioned Gradient Descent Method for Solving Nonlinear Least Squares Problems	Zhipeng Chang, Wenrui Hao, Nian Liu	2026	arxiv 2602.09057
Cautious Optimizers: Improving Training with One Line of Code	Kaizhao Liang, Lizhang Chen, Bo Liu	2024	arxiv 2411.16085
Towards Attributions of Input Variables in a Coalition	Xinhao Zheng, Huiqi Deng, Quanshi Zhang	2023	arxiv 2309.13411
Quantum mechanical framework for quantization-based optimization: from Gradient flow to Schroedinger equation	Jinwuk Seok, Changsik Cho	2026	arxiv 2603.11536
On Linear Separability of the MNIST Handwritten Digits Dataset	Ákos Hajnal	2026	arxiv 2603.12850
Quantum-Inspired Robust and Scalable SAR Object Classification	Maximilian Scharf, Marco Trenti, Felix Bock	2026	arxiv 2604.25755
FAAST: Forward-Only Associative Learning via Closed-Form Fast Weights for Test-Time Supervised Adaptation	Guangsheng Bao, Hongbo Zhang, Han Cui	2026	arxiv 2605.04651
Improving Infinitely Deep Bayesian Neural Networks with Nesterov's Accelerated Gradient Method	Chenxu Yu, Wenqi Fang	2026	arxiv 2603.25024
Robustness in sparse artificial neural networks trained with adaptive topology	Bendegúz Sulyok, Gergely Palla, Filippo Radicchi	2026	arxiv 2602.21961
Knee or ROC	Veronica Wendt, Jacob Steiner, Byunggu Yu	2024	arxiv 2401.07390
Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning	Anand Gokhale, Anton V. Proskurnikov, Yu Kawano	2026	arxiv 2604.00119
Uncertainty Quantification With Multiple Sources	Mufang Ying, Wenge Guo, Koulik Khamaru	2024	arxiv 2405.06479
Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution	Soyeon Kim, Seongwoo Lim, Kyowoon Lee	2026	arxiv 2605.19607
Accelerating Vision Foundation Models with Drop-in Depthwise Convolution	Carmelo Scribano, Mohammad Mahdi, Nedyalko Prisadnikov	2026	arxiv 2605.22132
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals	Hanze Li, Yaosong Du, Zhibo Yao	2025	arxiv 2503.06473
SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation	Petros Andreou, Jamie Lanyon, Axel Finke	2026	arxiv 2606.00380
MIMO-OTFS-Based Semantic Communication for High-Mobility Scenarios	Yu Zhang, Jiarui Yan, Yue Liu	2026	arxiv 2605.29332
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks	Parth Padalkar, Gopal Gupta	2023	arxiv 2310.13073
Pushing the envelope in deep visual recognition for mobile platforms	Lorenzo Alvino	2017	arxiv 1710.05982
Task Guided Compositional Representation Learning for ZDA	Shuang Liu, Mete Ozay	2021	arxiv 2109.05934

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