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Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance., and . CoRR, (2022)Continual Pre-Training of Large Language Models: How to (re)warm your model?, , , , , , , and . CoRR, (2023)Simple and Scalable Strategies to Continually Pre-train Large Language Models., , , , , , , and . CoRR, (2024)Towards efficient convolutional neural architecture design: exploring the properties of neural architectures using spectral decomposition and logistic regression probes.. University of Osnabrück, Germany, (2022)Feature Space Saturation during Training., , , , and . BMVC, page 17. BMVA Press, (2021)Delve: Neural Network Feature Variance Analysis., , and . J. Open Source Softw., 7 (69): 3992 (2022)Feature Space Saturation during Training., , , , and . CoRR, (2020)Exploring the Properties and Evolution of Neural Network Eigenspaces during Training., , , and . CoRR, (2021)Size Matters., , , , and . CoRR, (2021)Can Synthetic Images Improve CNN Performance in Wound Image Classification?, , , , , , , , , and 5 other author(s). MIE, volume 302 of Studies in Health Technology and Informatics, page 927-931. IOS Press, (2023)