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Understanding deep learning requires rethinking generalization.

, , , , и . CoRR, (2016)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

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Xianghong Zhang

Miao Zhang

 

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Image Compression by Learning to Minimize the Total Error., и . IEEE Trans. Circuits Syst. Video Techn., 23 (4): 565-576 (2013)Transfusion: Understanding Transfer Learning with Applications to Medical Imaging., , , и . CoRR, (2019)Deduplicating Training Data Makes Language Models Better., , , , , , и . CoRR, (2021)Discriminative template learning in group-convolutional networks for invariant speech representations., , , , и . INTERSPEECH, стр. 3229-3233. ISCA, (2015)Word-level invariant representations from acoustic waveforms., , , , и . INTERSPEECH, стр. 2385-2389. ISCA, (2014)Unrestricted Adversarial Examples., , , , , и . CoRR, (2018)A-Optimal Projection for Image Representation., , , и . IEEE Trans. Pattern Anal. Mach. Intell., 38 (5): 1009-1015 (2016)Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures., , , , , , и . NeurIPS, (2022)Transfusion: Understanding Transfer Learning for Medical Imaging., , , и . NeurIPS, стр. 3342-3352. (2019)Deep learning and structured data.. Massachusetts Institute of Technology, Cambridge, USA, (2018)ndltd.org (oai:dspace.mit.edu:1721.1/115643).