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实体 Bartlett, Foster, and Telgarsky

Bartlett, Foster, and Telgarsky

PulseAugur coverage of Bartlett, Foster, and Telgarsky — every cluster mentioning Bartlett, Foster, and Telgarsky across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_04056 ·

    Papers challenge deep learning theory with generalization bound critiques

    Two papers, one from 2016 by Zhang et al. and another from 2019 by Nagarajan and Kolter, are discussed for their impact on deep learning theory. The 2016 paper demonstrated that standard neural networks could easily mem…