Research

Papers for “image classification”

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

Title	Authors	Year	Source
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence	Li Weigang, Liriam Enamoto, Denise Leyi Li	2021	arxiv 2104.13155
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks	Yutian Pang, Sheng Cheng, Jueming Hu	2021	arxiv 2106.09223
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning	Alexander Immer, Matthias Bauer, Vincent Fortuin	2021	arxiv 2104.04975
Incremental Object Detection with Prompt-based Methods	Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Pani Paudel	2025	arxiv 2508.14599
A Review on Domain Adaption and Generative Adversarial Networks(GANs)	Aashish Dhawan, Divyanshu Mudgal	2025	arxiv 2510.12075
Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics	S. Banerjee, J. Harrison, P. M. Furlong	2020	arxiv 2009.10191
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning	Naren Sengodan	2024	arxiv 2410.22392
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation	Yuhui Zhang, Dongshen Wu, Yuichiro Wada	2025	arxiv 2505.16923
Certification for Differentially Private Prediction in Gradient-Based Training	Matthew Wicker, Philip Sosnin, Igor Shilov	2024	arxiv 2406.13433
Disentangled representations of microscopy images	Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti	2025	arxiv 2506.20649
Hardware optimization on Android for inference of AI models	Iulius Gherasim, Carlos García Sánchez	2025	arxiv 2511.13453
Efficient and Reliable Overlay Networks for Decentralized Federated Learning	Yifan Hua, Kevin Miller, Andrea L. Bertozzi	2021	arxiv 2112.15486
Parallel Grid Pooling for Data Augmentation	Akito Takeki, Daiki Ikami, Go Irie	2018	arxiv 1803.11370
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models	Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng	2023	arxiv 2305.00350
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information	Mingkun Zhang, Jianing Li, Wei Chen	2024	arxiv 2408.05900
Optimal Task Order for Continual Learning of Multiple Tasks	Ziyan Li, Naoki Hiratani	2025	arxiv 2502.03350
Enhanced NIRMAL Optimizer With Damped Nesterov Acceleration: A Comparative Analysis	Nirmal Gaud, Prasad Krishna Murthy, Mostaque Md. Morshedur Hassan	2025	arxiv 2508.16550
Fine-grained Classes and How to Find Them	Matej Grcić, Artyom Gadetsky, Maria Brbić	2024	arxiv 2406.11070
On the universality of neural encodings in CNNs	Florentin Guth, Brice Ménard	2024	arxiv 2409.19460
Hidden costs for inference with deep network on embedded system devices	Chankyu Lee, Woohyun Choi, Sangwook Park	2026	arxiv 2601.01698

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