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Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay.

, and . ICASSP, page 4243-4247. IEEE, (2022)

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Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries., , , , , , and . CoRR, (2017)ChieF: A Change Pattern based Interpretable Failure Analyzer., , , , and . IEEE BigData, page 1978-1985. IEEE, (2018)Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras., , , , , , and . Sensors, 19 (17): 3702 (2019)Sparse Coding and Autoencoders., , , , , , and . ISIT, page 36-40. IEEE, (2018)A Scale Invariant Measure of Flatness for Deep Network Minima., , , , , and . ICASSP, page 1680-1684. IEEE, (2021)Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay., and . ICASSP, page 4243-4247. IEEE, (2022)Reconstruction-Free Deep Convolutional Neural Networks for Partially Observed Images., , , , , and . GlobalSIP, page 400-404. IEEE, (2018)Targeted Dot Product Representation for Friend Recommendation in Online Social Networks., , , , and . ASONAM, page 349-356. ACM, (2015)Feature learning in deep classifiers through Intermediate Neural Collapse., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 28729-28745. PMLR, (2023)Predicting local field potentials with recurrent neural networks., , , , , , , , and . EMBC, page 808-811. IEEE, (2016)