Summary of Doppler: Differentially Private Optimizers with Low-pass Filter For Privacy Noise Reduction, by Xinwei Zhang et al.
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reductionby Xinwei Zhang, Zhiqi Bu,…
Summary of On the Design Of Scalable, High-precision Spherical-radial Fourier Features, by Ayoub Belhadji et al.
On the design of scalable, high-precision spherical-radial Fourier featuresby Ayoub Belhadji, Qianyu Julie Zhu, Youssef…
Summary of From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks For Orthopedic Radiograph Classification, by Jakub Olczak and Max Gordon
From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks for…
Summary of Exploring Bias and Prediction Metrics to Characterise the Fairness Of Machine Learning For Equity-centered Public Health Decision-making: a Narrative Review, by Shaina Raza et al.
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public…
Summary of A Comparison Of Deep Learning and Established Methods For Calf Behaviour Monitoring, by Oshana Dissanayake et al.
A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoringby Oshana Dissanayake, Lucile…
Summary of Aemlo: Autoencoder-guided Multi-label Oversampling, by Ao Zhou et al.
AEMLO: AutoEncoder-Guided Multi-Label Oversamplingby Ao Zhou, Bin Liu, Jin Wang, Kaiwei Sun, Kelin LiuFirst submitted…
Summary of On the Good Reliability Of An Interval-based Metric to Validate Prediction Uncertainty For Machine Learning Regression Tasks, by Pascal Pernot
On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning…
Summary of Dynamic Label Adversarial Training For Deep Learning Robustness Against Adversarial Attacks, by Zhenyu Liu et al.
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacksby Zhenyu Liu, Haoran Duan,…
Summary of Optimally Solving Simultaneous-move Dec-pomdps: the Sequential Central Planning Approach, by Johan Peralez et al.
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approachby Johan Peralez, Aurèlien Delage, Jacopo Castellini,…
Summary of Causal Machine Learning For Sustainable Agroecosystems, by Vasileios Sitokonstantinou et al.
Causal machine learning for sustainable agroecosystemsby Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà Bautista,…