Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentationby…
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Databy Francis Ndikum Nji, Omar Faruque, Mostafa…
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scalingby Enze Shi, Kui Zhao,…
A Controlled Study on Long Context Extension and Generalization in LLMsby Yi Lu, Jing Nathan…
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networksby Eeshaan Jain,…
Mastering Chess with a Transformer Modelby Daniel Monroe, Philip A. ChalmersFirst submitted to arxiv on:…
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selectionby Qian Shao, Jiangrui Kang, Qiyuan Chen,…
Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical…
Adaptive Large Language Models By Layerwise Attention Shortcutsby Prateek Verma, Mert PilanciFirst submitted to arxiv…
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identificationby Jiaxing Xu, Kai He, Mengcheng…