Summary of Mathematics Of Neural Networks (lecture Notes Graduate Course), by Bart M.n. Smets
Mathematics of Neural Networks (Lecture Notes Graduate Course)by Bart M.N. SmetsFirst submitted to arxiv on:…
Summary of Restricted Bayesian Neural Network, by Sourav Ganguly and Saprativa Bhattacharjee
Restricted Bayesian Neural Networkby Sourav Ganguly, Saprativa BhattacharjeeFirst submitted to arxiv on: 6 Mar 2024CategoriesMain:…
Summary of Investigation Of the Impact Of Synthetic Training Data in the Industrial Application Of Terminal Strip Object Detection, by Nico Baumgart et al.
Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip…
Summary of What Makes An Image Realistic?, by Lucas Theis
What makes an image realistic?by Lucas TheisFirst submitted to arxiv on: 7 Mar 2024CategoriesMain: Machine…
Summary of Hyperspectral Unmixing For Raman Spectroscopy Via Physics-constrained Autoencoders, by Dimitar Georgiev et al.
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencodersby Dimitar Georgiev, Álvaro Fernández-Galiana, Simon Vilms Pedersen,…
Summary of Improve Generalization Ability Of Deep Wide Residual Network with a Suitable Scaling Factor, by Songtao Tian et al.
Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factorby Songtao Tian,…
Summary of Enhancing Data Quality in Federated Fine-tuning Of Foundation Models, by Wanru Zhao et al.
Enhancing Data Quality in Federated Fine-Tuning of Foundation Modelsby Wanru Zhao, Yaxin Du, Nicholas Donald…
Summary of Architectural Blueprint For Heterogeneity-resilient Federated Learning, by Satwat Bashir et al.
Architectural Blueprint For Heterogeneity-Resilient Federated Learningby Satwat Bashir, Tasos Dagiuklas, Kasra Kassai, Muddesar IqbalFirst submitted…
Summary of Clip the Bias: How Useful Is Balancing Data in Multimodal Learning?, by Ibrahim Alabdulmohsin et al.
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?by Ibrahim Alabdulmohsin, Xiao Wang,…
Summary of Dissecting Sample Hardness: a Fine-grained Analysis Of Hardness Characterization Methods For Data-centric Ai, by Nabeel Seedat et al.
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AIby Nabeel Seedat,…