Summary of Optimal Projections For Classification with Naive Bayes, by David P. Hofmeyr et al.
Optimal Projections for Classification with Naive Bayesby David P. Hofmeyr, Francois Kamper, Michail M. MelonasFirst…
Summary of Input Space Mode Connectivity in Deep Neural Networks, by Jakub Vrabel et al.
Input Space Mode Connectivity in Deep Neural Networksby Jakub Vrabel, Ori Shem-Ur, Yaron Oz, David…
Summary of A Novel Representation Of Periodic Pattern and Its Application to Untrained Anomaly Detection, by Peng Ye et al.
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detectionby Peng Ye,…
Summary of Cobo: Collaborative Learning Via Bilevel Optimization, by Diba Hashemi et al.
CoBo: Collaborative Learning via Bilevel Optimizationby Diba Hashemi, Lie He, Martin JaggiFirst submitted to arxiv…
Summary of Learning to Model Graph Structural Information on Mlps Via Graph Structure Self-contrasting, by Lirong Wu et al.
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrastingby Lirong Wu, Haitao…
Summary of Learning Submodular Sequencing From Samples, by Jing Yuan et al.
Learning Submodular Sequencing from Samplesby Jing Yuan, Shaojie TangFirst submitted to arxiv on: 9 Sep…
Summary of Resource-efficient Generative Ai Model Deployment in Mobile Edge Networks, by Yuxin Liang et al.
Resource-Efficient Generative AI Model Deployment in Mobile Edge Networksby Yuxin Liang, Peng Yang, Yuanyuan He,…
Summary of Sample-efficient Bayesian Optimization with Transfer Learning For Heterogeneous Search Spaces, by Aryan Deshwal et al.
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spacesby Aryan Deshwal, Sait Cakmak, Yuhou…
Summary of Recursive Nested Filtering For Efficient Amortized Bayesian Experimental Design, by Sahel Iqbal et al.
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Designby Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites,…
Summary of On the Convergence Analysis Of Over-parameterized Variational Autoencoders: a Neural Tangent Kernel Perspective, by Li Wang and Wei Huang
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspectiveby Li Wang,…