Graph Neural Machine: A New Model for Learning with Tabular Databy Giannis Nikolentzos, Siyun Wang,…
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are…
DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Networkby Meng Shang, Lenore Dedeyne,…
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Ratingby…
Classification of Tennis Actions Using Deep Learningby Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder ClemmensenFirst…
Unifying Generation and Prediction on Graphs with Latent Graph Diffusionby Cai Zhou, Xiyuan Wang, Muhan…
NOAH: Learning Pairwise Object Category Attentions for Image Classificationby Chao Li, Aojun Zhou, Anbang YaoFirst…
Fast and interpretable Support Vector Classification based on the truncated ANOVA decompositionby Kseniya Akhalaya, Franziska…
Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communicationsby Aysun Gurur Onalan, Berkay…
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiersby Yatong Bai, Mo Zhou, Vishal M. Patel,…