Summary of Demystifying Lazy Training Of Neural Networks From a Macroscopic Viewpoint, by Yuqing Li et al.
Demystifying Lazy Training of Neural Networks from a Macroscopic Viewpointby Yuqing Li, Tao Luo, Qixuan…
Summary of Block-diagonal Guided Dbscan Clustering, by Weibing Zhao
Block-Diagonal Guided DBSCAN Clusteringby Weibing ZhaoFirst submitted to arxiv on: 31 Mar 2024CategoriesMain: Machine Learning…
Summary of Addressing Loss Of Plasticity and Catastrophic Forgetting in Continual Learning, by Mohamed Elsayed et al.
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learningby Mohamed Elsayed, A. Rupam MahmoodFirst…
Summary of Deep Learning with Parametric Lenses, by Geoffrey S. H. Cruttwell et al.
Deep Learning with Parametric Lensesby Geoffrey S. H. Cruttwell, Bruno Gavranovic, Neil Ghani, Paul Wilson,…
Summary of Functional-edged Network Modeling, by Haijie Xu and Chen Zhang
Functional-Edged Network Modelingby Haijie Xu, Chen ZhangFirst submitted to arxiv on: 30 Mar 2024CategoriesMain: Machine…
Summary of The Topos Of Transformer Networks, by Mattia Jacopo Villani and Peter Mcburney
The Topos of Transformer Networksby Mattia Jacopo Villani, Peter McBurneyFirst submitted to arxiv on: 27…
Summary of Enhancing Privacy in Federated Learning Through Local Training, by Nicola Bastianello et al.
Enhancing Privacy in Federated Learning through Local Trainingby Nicola Bastianello, Changxin Liu, Karl H. JohanssonFirst…
Summary of The Effectiveness Of Local Updates For Decentralized Learning Under Data Heterogeneity, by Tongle Wu et al.
The Effectiveness of Local Updates for Decentralized Learning under Data Heterogeneityby Tongle Wu, Zhize Li,…
Summary of Recovering Latent Confounders From High-dimensional Proxy Variables, by Nathan Mankovich et al.
Recovering Latent Confounders from High-dimensional Proxy Variablesby Nathan Mankovich, Homer Durand, Emiliano Diaz, Gherardo Varando,…
Summary of Training Morphological Neural Networks with Gradient Descent: Some Theoretical Insights, by Samy Blusseau (cmm)
Training morphological neural networks with gradient descent: some theoretical insightsby Samy BlusseauFirst submitted to arxiv…