Summary of An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction, by Md. Asif Khan Rifat et al.
An Explainable Machine Learning Approach to Traffic Accident Fatality Predictionby Md. Asif Khan Rifat, Ahmedul…
Summary of An Efficient Model-agnostic Approach For Uncertainty Estimation in Data-restricted Pedometric Applications, by Viacheslav Barkov et al.
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applicationsby Viacheslav Barkov, Jonas Schmidinger,…
Summary of Unraveling the Hessian: a Key to Smooth Convergence in Loss Function Landscapes, by Nikita Kiselev et al.
Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapesby Nikita Kiselev, Andrey…
Summary of A Property Encoder For Graph Neural Networks, by Anwar Said et al.
A Property Encoder for Graph Neural Networksby Anwar Said, Waseem Abbas, Xenofon KoutsoukosFirst submitted to…
Summary of Few-shot Class-incremental Learning with Non-iid Decentralized Data, by Cuiwei Liu et al.
Few-Shot Class-Incremental Learning with Non-IID Decentralized Databy Cuiwei Liu, Siang Xu, Huaijun Qiu, Jing Zhang,…
Summary of Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations, by Jiaqi Ding et al.
Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretationsby Jiaqi Ding, Tingting Dan, Ziquan…
Summary of A Green Multi-attribute Client Selection For Over-the-air Federated Learning: a Grey-wolf-optimizer Approach, by Maryam Ben Driss et al.
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approachby Maryam Ben Driss,…
Summary of Super Resolution on Global Weather Forecasts, by Lawrence Zhang et al.
Super Resolution On Global Weather Forecastsby Lawrence Zhang, Adam Yang, Rodz Andrie Amor, Bryan Zhang,…
Summary of A Reinforcement Learning Environment For Automatic Code Optimization in the Mlir Compiler, by Nazim Bendib et al.
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compilerby Nazim Bendib, Iheb…
Summary of Improve Machine Learning Carbon Footprint Using Parquet Dataset Format and Mixed Precision Training For Regression Models — Part Ii, by Andrew Antonopoulos
Improve Machine Learning carbon footprint using Parquet dataset format and Mixed Precision training for regression…