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DENSO IT Laboratory, Japan Corresponding author: naganuma.hiroki@mila.quebec. This work was partially conducted while H. Naganuma was participating in the research residency program at CyberAgent AI Lab. This manuscript is a revised version of a submission to ICLR 2022 that was not accepted.Work done while at CyberAgent AI Lab.
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Takeuchi's Information Criterion (TIC) accurately predicts DNN generalization gaps, but only when models operate near the Neural Tangent Kernel (NTK) regime.
