From post

Improved Training of Deep Networks for Computer Vision.

. University of Maryland, College Park, MD, USA, (2021)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/28870).

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

New methods for handling binary constraints., , , и . Allerton, стр. 1074-1080. IEEE, (2016)Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation., , , , , и . ICASSP, стр. 1348-1352. IEEE, (2017)Stabilizing Adversarial Nets With Prediction Methods., , , , и . CoRR, (2017)Biconvex Relaxation for Semidefinite Programming in Computer Vision., , , , и . CoRR, (2016)Biconvex Relaxation for Semidefinite Programming in Computer Vision., , , , , и . ECCV (6), том 9910 из Lecture Notes in Computer Science, стр. 717-735. Springer, (2016)Maximum Entropy Model Based Classification with Feature Selection., , и . ICPR, стр. 565-568. IEEE Computer Society, (2010)Improved Training of Deep Networks for Computer Vision.. University of Maryland, College Park, MD, USA, (2021)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/28870).Stabilizing Adversarial Nets with Prediction Methods., , , , и . ICLR (Poster), OpenReview.net, (2018)Making L-BFGS Work with Industrial-Strength Nets., , и . BMVC, BMVA Press, (2020)SMART CONTRACTS Based Peer to Peer Communication in Blockchain: A Decentralized Approach., , , и . COMPLEX NETWORKS (2), том 1142 из Studies in Computational Intelligence, стр. 373-382. Springer, (2023)