Research

Papers for “image classification”

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

Title	Authors	Year	Source
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding	Kazuki Yoda, Kazuhiko Kawamoto, Hiroshi Kera	2025	arxiv 2506.20305
Steps Adaptive Decay DPSGD: Enhancing Performance on Imbalanced Datasets with Differential Privacy with HAM10000	Xiaobo Huang, Fang Xie	2025	arxiv 2507.06619
Conformal Prediction of Classifiers with Many Classes based on Noisy Labels	Coby Penso, Jacob Goldberger, Ethan Fetaya	2025	arxiv 2501.12749
The Lifecycle Principle: Stabilizing Dynamic Neural Networks with State Memory	Zichuan Yang	2025	arxiv 2509.02575
Similarity of Neural Architectures using Adversarial Attack Transferability	Jaehui Hwang, Dongyoon Han, Byeongho Heo	2022	arxiv 2210.11407
Reduced storage direct tensor ring decomposition for convolutional neural networks compression	Mateusz Gabor, Rafa\l Zdunek	2024	arxiv 2405.10802
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules	Bingchen Yan	2024	arxiv 2408.14192
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships	Gracile Astlin Pereira, Muhammad Hussain	2024	arxiv 2408.15178
Polarity is all you need to learn and transfer faster	Qingyang Wang, Michael A.Powell, Ali Geisa	2023	arxiv 2303.17589
Understanding Gender and Racial Disparities in Image Recognition Models	Rohan Mahadev, Anindya Chakravarti	2021	arxiv 2107.09211
Adaptive Learning Rate and Momentum for Training Deep Neural Networks	Zhiyong Hao, Yixuan Jiang, Huihua Yu	2021	arxiv 2106.11548
Knowledge accumulating: The general pattern of learning	Zhuoran Xu, Hao Liu	2021	arxiv 2108.03988
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings	Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko	2020	arxiv 2010.08666
Better Aggregation in Test-Time Augmentation	Divya Shanmugam, Davis Blalock, Guha Balakrishnan	2020	arxiv 2011.11156
Deep Learning Based Brain Tumor Segmentation: A Survey	Zhihua Liu, Lei Tong, Zheheng Jiang	2020	arxiv 2007.09479
Human Imperceptible Attacks and Applications to Improve Fairness	Xinru Hua, Huanzhong Xu, Jose Blanchet	2021	arxiv 2111.15603
High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation	Le Dong, Jinghao Bian, Jingyang Hou	2025	arxiv 2509.24177
QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks	Qian Chen, Linxin Yang, Akang Wang	2025	arxiv 2510.03276
Uncertainty evaluation of segmentation models for Earth observation	Melanie Rey, Andriy Mnih, Maxim Neumann	2025	arxiv 2510.19586
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks	Magnus Malmström, Isaac Skog, Daniel Axehill	2023	arxiv 2310.08315

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