Chiyuan Zhang
Chiyuan Zhang
Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Understanding deep learning requires rethinking generalization
C Zhang, S Bengio, M Hardt, B Recht, O Vinyals
arXiv preprint arXiv:1611.03530, 2016
19342016
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
arXiv preprint arXiv:1512.01274, 2015
14272015
Unsupervised feature selection for multi-cluster data
D Cai, C Zhang, X He
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
7422010
Learning with a Wasserstein loss
C Frogner, C Zhang, H Mobahi, M Araya, TA Poggio
Advances in neural information processing systems, 2053-2061, 2015
2572015
Training deep nets with sublinear memory cost
T Chen, B Xu, C Zhang, C Guestrin
arXiv preprint arXiv:1604.06174, 2016
2152016
Machine theory of mind
NC Rabinowitz, F Perbet, HF Song, C Zhang, SM Eslami, M Botvinick
arXiv preprint arXiv:1802.07740, 2018
1242018
Automated fault detection without seismic processing
M Araya-Polo, T Dahlke, C Frogner, C Zhang, T Poggio, D Hohl
The Leading Edge 36 (3), 208-214, 2017
1212017
A study on overfitting in deep reinforcement learning
C Zhang, O Vinyals, R Munos, S Bengio
arXiv preprint arXiv:1804.06893, 2018
1102018
A variance minimization criterion to feature selection using laplacian regularization
X He, M Ji, C Zhang, H Bao
IEEE transactions on pattern analysis and machine intelligence 33 (10), 2013 …, 2011
832011
Transfusion: Understanding transfer learning for medical imaging
M Raghu, C Zhang, J Kleinberg, S Bengio
Advances in neural information processing systems, 3347-3357, 2019
742019
Are all layers created equal?
C Zhang, S Bengio, Y Singer
arXiv preprint arXiv:1902.01996, 2019
492019
Machine-learning based automated fault detection in seismic traces
C Zhang, C Frogner, M Araya-Polo, D Hohl
76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014
462014
Understanding deep learning requires rethinking generalization (2016)
C Zhang, S Bengio, M Hardt, B Recht, O Vinyals
arXiv preprint arXiv:1611.03530, 2016
402016
Unrestricted adversarial examples
TB Brown, N Carlini, C Zhang, C Olsson, P Christiano, I Goodfellow
arXiv preprint arXiv:1809.08352, 2018
372018
Theory of deep learning IIb: Optimization properties of SGD
C Zhang, Q Liao, A Rakhlin, B Miranda, N Golowich, T Poggio
arXiv preprint arXiv:1801.02254, 2018
34*2018
A deep representation for invariance and music classification
C Zhang, G Evangelopoulos, S Voinea, L Rosasco, T Poggio
2014 IEEE international conference on acoustics, speech and signal …, 2014
292014
Theory of deep learning iii: Generalization properties of sgd
C Zhang, Q Liao, A Rakhlin, K Sridharan, B Miranda, N Golowich, ...
arXiv preprint arXiv:1801.00173, 2017
272017
Parallel vector field embedding
B Lin, X He, C Zhang, M Ji
The Journal of Machine Learning Research 14 (1), 2945-2977, 2013
272013
Image compression by learning to minimize the total error
C Zhang, X He
IEEE transactions on circuits and systems for video technology 23 (4), 565-576, 2012
242012
Semi-supervised regression via parallel field regularization
B Lin, C Zhang, X He
Advances in Neural Information Processing Systems, 433-441, 2011
222011
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Articles 1–20