Ekin Dogus Cubuk
Ekin Dogus Cubuk
Google Brain
Bestätigte E-Mail-Adresse bei fas.harvard.edu
Titel
Zitiert von
Zitiert von
Jahr
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
945*2018
Specaugment: A simple data augmentation method for automatic speech recognition
DS Park, W Chan, Y Zhang, CC Chiu, B Zoph, ED Cubuk, QV Le
arXiv preprint arXiv:1904.08779, 2019
6492019
Realistic evaluation of deep semi-supervised learning algorithms
A Oliver, A Odena, CA Raffel, ED Cubuk, I Goodfellow
Advances in Neural Information Processing Systems, 3235-3246, 2018
4062018
Randaugment: Practical automated data augmentation with a reduced search space
ED Cubuk, B Zoph, J Shlens, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
244*2020
A structural approach to relaxation in glassy liquids
SS Schoenholz, ED Cubuk, E Kaxiras, AJ Liu
Nature Physics 12, 469-471, 2016
2092016
Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods
ED Cubuk, SS Schoenholz, JM Rieser, BD Malone, J Rottler, DJ Durian, ...
Physical Review Letters 114, 108001, 2015
2062015
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ...
arXiv preprint arXiv:2001.07685, 2020
1762020
Atomic Layer Deposition of Stable LiAlF4 Lithium Ion Conductive Interfacial Layer for Stable Cathode Cycling
J Xie, AD Sendek, ED Cubuk, X Zhang, Z Lu, Y Gong, T Wu, F Shi, W Liu, ...
Acs Nano 11 (7), 7019-7027, 2017
1512017
Holistic computational structure screening of more than 12000 candidates for solid lithium-ion conductor materials
AD Sendek, Q Yang, ED Cubuk, KAN Duerloo, Y Cui, EJ Reed
Energy & Environmental Science 10 (1), 306-320, 2017
1462017
Adversarial examples are a natural consequence of test error in noise
J Gilmer, N Ford, N Carlini, E Cubuk
International Conference on Machine Learning, 2280-2289, 2019
124*2019
Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring
D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel
arXiv preprint arXiv:1911.09785, 2019
1212019
Augmix: A simple data processing method to improve robustness and uncertainty
D Hendrycks, N Mu, ED Cubuk, B Zoph, J Gilmer, B Lakshminarayanan
arXiv preprint arXiv:1912.02781, 2019
1182019
Structure-property relationships from universal signatures of plasticity in disordered solids
ED Cubuk, RJS Ivancic, SS Schoenholz, DJ Strickland, A Basu, ...
Science 358 (6366), 1033-1037, 2017
1152017
Learning data augmentation strategies for object detection
B Zoph, ED Cubuk, G Ghiasi, TY Lin, J Shlens, QV Le
European Conference on Computer Vision, 566-583, 2020
962020
Stress effects on the initial lithiation of crystalline silicon nanowires: reactive molecular dynamics simulations using ReaxFF
A Ostadhossein, ED Cubuk, GA Tritsaris, E Kaxiras, S Zhang, ...
Physical Chemistry Chemical Physics 17 (5), 3832-3840, 2015
872015
A fourier perspective on model robustness in computer vision
D Yin, RG Lopes, J Shlens, ED Cubuk, J Gilmer
arXiv preprint arXiv:1906.08988, 2019
842019
Direct observation of a long-lived single-atom catalyst chiseling atomic structures in graphene
WL Wang, EJG Santos, B Jiang, ED Cubuk, C Ophus, A Centeno, ...
Nano letters 14 (2), 450-455, 2014
712014
Relationship between local structure and relaxation in out-of-equilibrium glassy systems
SS Schoenholz, ED Cubuk, E Kaxiras, AJ Liu
Proceedings of the National Academy of Sciences 114 (2), 263-267, 2017
672017
High-Temperature Quantum Anomalous Hall Effect in Codoped Topological Insulators
S Qi, Z Qiao, X Deng, ED Cubuk, H Chen, W Zhu, E Kaxiras, SB Zhang, ...
Physical review letters 117 (5), 056804, 2016
662016
Machine learning-assisted discovery of solid Li-ion conducting materials
AD Sendek, ED Cubuk, ER Antoniuk, G Cheon, Y Cui, EJ Reed
Chemistry of Materials 31 (2), 342-352, 2018
652018
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