Summary of Wasserstein Distributionally Robust Multiclass Support Vector Machine, by Michael Ibrahim et al.
Wasserstein Distributionally Robust Multiclass Support Vector Machineby Michael Ibrahim, Heraldo Rozas, Nagi GebraeelFirst submitted to…
Summary of Privacy-preserving Federated Prediction Of Pain Intensity Change Based on Multi-center Survey Data, by Supratim Das et al.
Privacy-preserving federated prediction of pain intensity change based on multi-center survey databy Supratim Das, Mahdie…
Summary of Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications, by Joao Pereira et al.
Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applicationsby Joao Pereira, Michael Alummoottil,…
Summary of Demau: Decompose, Explore, Model and Analyse Uncertainties, by Arthur Hoarau et al.
DEMAU: Decompose, Explore, Model and Analyse Uncertaintiesby Arthur Hoarau, Vincent LemaireFirst submitted to arxiv on:…
Summary of Machine Learning For Two-sample Testing Under Right-censored Data: a Simulation Study, by Petr Philonenko and Sergey Postovalov
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Studyby Petr Philonenko, Sergey PostovalovFirst…
Summary of Controllable Synthetic Clinical Note Generation with Privacy Guarantees, by Tal Baumel et al.
Controllable Synthetic Clinical Note Generation with Privacy Guaranteesby Tal Baumel, Andre Manoel, Daniel Jones, Shize…
Summary of Improve Machine Learning Carbon Footprint Using Nvidia Gpu and Mixed Precision Training For Classification Models — Part I, by Andrew Antonopoulos
Improve Machine Learning carbon footprint using Nvidia GPU and Mixed Precision training for classification models…
Summary of Taylor-sensus Network: Embracing Noise to Enlighten Uncertainty For Scientific Data, by Guangxuan Song et al.
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Databy Guangxuan Song, Dongmei Fu, Zhongwei…
Summary of Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks, by Xingchi Liu et al.
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networksby Xingchi…
Summary of Stand: Data-efficient and Self-aware Precondition Induction For Interactive Task Learning, by Daniel Weitekamp et al.
STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learningby Daniel Weitekamp, Kenneth KoedingerFirst submitted…