Summary of Uncovering Biases with Reflective Large Language Models, by Edward Y. Chang
Uncovering Biases with Reflective Large Language Modelsby Edward Y. ChangFirst submitted to arxiv on: 24…
Summary of Protecting Against Simultaneous Data Poisoning Attacks, by Neel Alex et al.
Protecting against simultaneous data poisoning attacksby Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David KruegerFirst…
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 Web-based Solution For Federated Learning with Llm-based Automation, by Chamith Mawela and Chaouki Ben Issaid and Mehdi Bennis
A Web-Based Solution for Federated Learning with LLM-Based Automationby Chamith Mawela, Chaouki Ben Issaid, Mehdi…
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 Hierarchical Spatio-temporal State-space Modeling For Fmri Analysis, by Yuxiang Wei et al.
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysisby Yuxiang Wei, Anees Abrol, Vince CalhounFirst submitted to…
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…