Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Modelsby Keyu…
Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentationby…
Bilateral Sharpness-Aware Minimization for Flatter Minimaby Jiaxin Deng, Junbiao Pang, Baochang Zhang, Qingming HuangFirst submitted…
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challengesby James E.…
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal…
A Comparative Study of Open Source Computer Vision Models for Application on Small Data: The…
On the Generalizability of Foundation Models for Crop Type Mappingby Yi-Chia Chang, Adam J. Stewart,…
SPARK: Self-supervised Personalized Real-time Monocular Face Captureby Kelian Baert, Shrisha Bharadwaj, Fabien Castan, Benoit Maujean,…
Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learningby Sheng Shen, Rabih YounesFirst submitted to arxiv…
Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AIby Michele LaurelliFirst…