Summary of Mshyper: Multi-scale Hypergraph Transformer For Long-range Time Series Forecasting, by Zongjiang Shang et al.
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecastingby Zongjiang Shang, Ling Chen, Binqing Wu,…
Summary of Risk-aware Accelerated Wireless Federated Learning with Heterogeneous Clients, by Mohamed Ads et al.
Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clientsby Mohamed Ads, Hesham ElSawy, Hossam S. HassaneinFirst…
Summary of Adaptive Regret For Bandits Made Possible: Two Queries Suffice, by Zhou Lu et al.
Adaptive Regret for Bandits Made Possible: Two Queries Sufficeby Zhou Lu, Qiuyi Zhang, Xinyi Chen,…
Summary of Beno: Boundary-embedded Neural Operators For Elliptic Pdes, by Haixin Wang et al.
BENO: Boundary-embedded Neural Operators for Elliptic PDEsby Haixin Wang, Jiaxin Li, Anubhav Dwivedi, Kentaro Hara,…
Summary of Central Limit Theorem For Two-timescale Stochastic Approximation with Markovian Noise: Theory and Applications, by Jie Hu et al.
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applicationsby Jie Hu,…
Summary of Machines Do See Color: a Guideline to Classify Different Forms Of Racist Discourse in Large Corpora, by Diana Davila Gordillo et al.
Machines Do See Color: A Guideline to Classify Different Forms of Racist Discourse in Large…
Summary of High Confidence Level Inference Is Almost Free Using Parallel Stochastic Optimization, by Wanrong Zhu et al.
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimizationby Wanrong Zhu, Zhipeng Lou,…
Summary of Sceneverse: Scaling 3d Vision-language Learning For Grounded Scene Understanding, by Baoxiong Jia et al.
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understandingby Baoxiong Jia, Yixin Chen, Huangyue Yu,…
Summary of Deciphering Textual Authenticity: a Generalized Strategy Through the Lens Of Large Language Semantics For Detecting Human Vs. Machine-generated Text, by Mazal Bethany et al.
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting…
Summary of Online Performance Estimation with Unlabeled Data: a Bayesian Application Of the Hui-walter Paradigm, by Kevin Slote et al.
Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter Paradigmby Kevin Slote,…