Accurately Classifying Out-Of-Distribution Data in Facial Recognitionby Gianluca Barone, Aashrit Cunchala, Rudy NunezFirst submitted to…
Nonparametric Modern Hopfield Modelsby Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han LiuFirst…
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Studyby Zechun Niu, Jiaxin…
Outlier-Efficient Hopfield Layers for Large Transformer-Based Modelsby Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Robin Luo, Hong-Yu…
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Modelby Chenwei Xu,…
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devicesby Hasib-Al Rashid,…
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformersby Cai Zhou,…
Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimationby Zexin Fang, Bin Han,…
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networksby Arjun…
Optimizing the Deployment of Tiny Transformers on Low-Power MCUsby Victor J.B. Jung, Alessio Burrello, Moritz…