Summary of Understanding Polysemanticity in Neural Networks Through Coding Theory, by Simon C. Marshall and Jan H. Kirchner
Understanding polysemanticity in neural networks through coding theoryby Simon C. Marshall, Jan H. KirchnerFirst submitted…
Summary of An Integrated Framework For Team Formation and Winner Prediction in the First Robotics Competition: Model, Algorithm, and Analysis, by Federico Galbiati et al.
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model,…
Summary of An Attempt to Generate New Bridge Types From Latent Space Of Energy-based Model, by Hongjun Zhang
An attempt to generate new bridge types from latent space of energy-based modelby Hongjun ZhangFirst…
Summary of Step-size Optimization For Continual Learning, by Thomas Degris et al.
Step-size Optimization for Continual Learningby Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard SuttonFirst…
Summary of Heterogeneous Treatment Effect Estimation with Subpopulation Identification For Personalized Medicine in Opioid Use Disorder, by Seungyeon Lee et al.
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorderby Seungyeon…
Summary of Calibration-then-calculation: a Variance Reduced Metric Framework in Deep Click-through Rate Prediction Models, by Yewen Fan et al.
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Modelsby Yewen Fan, Nian…
Summary of Engineering a Large Language Model From Scratch, by Abiodun Finbarrs Oketunji
Engineering A Large Language Model From Scratchby Abiodun Finbarrs OketunjiFirst submitted to arxiv on: 30…
Summary of Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning, by Chenan Wang et al.
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learningby Chenan…
Summary of Learning a Gaussian Mixture For Sparsity Regularization in Inverse Problems, by Giovanni S. Alberti et al.
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problemsby Giovanni S. Alberti, Luca Ratti,…
Summary of Flexible Parallel Neural Network Architecture Model For Early Prediction Of Lithium Battery Life, by Lidang Jiang et al.
Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Lifeby Lidang Jiang,…