Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in…
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signalsby Christian Holberg, Cristopher SalviFirst…
COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typingby Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang,…
Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Poseby Michael Kilgour,…
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacyby Puning Zhao, Lifeng…
SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modelingby Xingzhou Lou, Junge Zhang, Jian Xie,…
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domainsby…
Function Extrapolation with Neural Networks and Its Application for Manifoldsby Guy Hay, Nir SharonFirst submitted…
Random Scaling and Momentum for Non-smooth Non-convex Optimizationby Qinzi Zhang, Ashok CutkoskyFirst submitted to arxiv…
Overcoming Domain Drift in Online Continual Learningby Fan Lyu, Daofeng Liu, Linglan Zhao, Zhang Zhang,…