Summary of Nodi: Out-of-distribution Detection with Noise From Diffusion, by Jingqiu Zhou et al.
NODI: Out-Of-Distribution Detection with Noise from Diffusionby Jingqiu Zhou, Aojun Zhou, Hongsheng LiFirst submitted to…
Summary of Deep Reinforcement Learning For Multi-truck Vehicle Routing Problems with Multi-leg Demand Routes, by Joshua Levin et al.
Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routesby Joshua Levin, Randall…
Summary of Contrastive Learning with Negative Sampling Correction, by Lu Wang et al.
Contrastive Learning with Negative Sampling Correctionby Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi…
Summary of Anchor Function: a Type Of Benchmark Functions For Studying Language Models, by Zhongwang Zhang et al.
Anchor function: a type of benchmark functions for studying language modelsby Zhongwang Zhang, Zhiwei Wang,…
Summary of Opendpd: An Open-source End-to-end Learning & Benchmarking Framework For Wideband Power Amplifier Modeling and Digital Pre-distortion, by Yizhuo Wu et al.
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital…
Summary of Learn What You Need in Personalized Federated Learning, by Kexin Lv et al.
Learn What You Need in Personalized Federated Learningby Kexin Lv, Rui Ye, Xiaolin Huang, Jie…
Summary of Boosting Gradient Ascent For Continuous Dr-submodular Maximization, by Qixin Zhang et al.
Boosting Gradient Ascent for Continuous DR-submodular Maximizationby Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen,…
Summary of Personalized Federated Learning Of Probabilistic Models: a Pac-bayesian Approach, by Mahrokh Ghoddousi Boroujeni et al.
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approachby Mahrokh Ghoddousi Boroujeni, Andreas Krause, Giancarlo…
Summary of Sparse Pca with False Discovery Rate Controlled Variable Selection, by Jasin Machkour et al.
Sparse PCA with False Discovery Rate Controlled Variable Selectionby Jasin Machkour, Arnaud Breloy, Michael Muma,…
Summary of Weighted Spectral Filters For Kernel Interpolation on Spheres: Estimates Of Prediction Accuracy For Noisy Data, by Xiaotong Liu et al.
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Databy…