Cem Anil
Cem Anil
University of Toronto; Vector Institute
Verified email at mail.utoronto.ca
Cited by
Cited by
Training deep networks with synthetic data: Bridging the reality gap by domain randomization
J Tremblay, A Prakash, D Acuna, M Brophy, V Jampani, C Anil, T To, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Sorting out lipschitz function approximation
C Anil, J Lucas, R Grosse
International Conference on Machine Learning, 291-301, 2019
Timbretron: A wavenet (cyclegan (cqt (audio))) pipeline for musical timbre transfer
S Huang, Q Li, C Anil, X Bao, S Oore, RB Grosse
arXiv preprint arXiv:1811.09620, 2018
Preventing gradient attenuation in lipschitz constrained convolutional networks
Q Li, S Haque, C Anil, J Lucas, RB Grosse, JH Jacobsen
Advances in neural information processing systems, 15390-15402, 2019
Refining labeling of time-associated data
C Anil
US Patent App. 16/153,430, 2019
Generation of Synthetic Images For Training a Neural Network Model
J Tremblay, A Prakash, MA Brophy, V Jampani, C Anil, ST Birchfield, ...
US Patent App. 16/256,820, 2019
Code arXiv Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Q Li, S Haque, C Anil, J Lucas, R Grosse, JH Jacobsen
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