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Chiyuan Zhang
Chiyuan Zhang
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Title
Cited by
Cited by
Year
Understanding deep learning (still) requires rethinking generalization
C Zhang, S Bengio, M Hardt, B Recht, O Vinyals
Communications of the ACM 64 (3), 107-115, 2021
64692021
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
27082015
Unsupervised feature selection for multi-cluster data
D Cai, C Zhang, X He
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
12802010
Transfusion: Understanding transfer learning for medical imaging
M Raghu, C Zhang, J Kleinberg, S Bengio
Advances in Neural Information Processing Systems, 2019
11522019
Training deep nets with sublinear memory cost
T Chen, B Xu, C Zhang, C Guestrin
arXiv preprint arXiv:1604.06174, 2016
8282016
Do vision transformers see like convolutional neural networks?
M Raghu, T Unterthiner, S Kornblith, C Zhang, A Dosovitskiy
Advances in Neural Information Processing Systems 34, 12116-12128, 2021
7272021
Learning with a Wasserstein loss
C Frogner, C Zhang, H Mobahi, M Araya, TA Poggio
Advances in neural information processing systems 28, 2015
6352015
Machine theory of mind
N Rabinowitz, F Perbet, F Song, C Zhang, SMA Eslami, M Botvinick
International conference on machine learning, 4218-4227, 2018
5322018
A study on overfitting in deep reinforcement learning
C Zhang, O Vinyals, R Munos, S Bengio
arXiv preprint arXiv:1804.06893, 2018
4452018
What is being transferred in transfer learning?
B Neyshabur, H Sedghi, C Zhang
Advances in Neural Information Processing Systems, 2020
3862020
Quantifying memorization across neural language models
N Carlini, D Ippolito, M Jagielski, K Lee, F Tramer, C Zhang
arXiv preprint arXiv:2202.07646, 2022
3252022
Deduplicating training data makes language models better
K Lee, D Ippolito, A Nystrom, C Zhang, D Eck, C Callison-Burch, N Carlini
arXiv preprint arXiv:2107.06499, 2021
2962021
What neural networks memorize and why: Discovering the long tail via influence estimation
V Feldman, C Zhang
Advances in Neural Information Processing Systems, Spotlight, 2020
2952020
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
2852017
Are all layers created equal?
C Zhang, S Bengio, Y Singer
The Journal of Machine Learning Research 23 (1), 2930-2957, 2022
1652022
International Conference on Learning Representations
H Zhang, M Cisse, YN Dauphin, D Lopez-Paz
ICML, 2018
1162018
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
113*2018
Deep learning with label differential privacy
B Ghazi, N Golowich, R Kumar, P Manurangsi, C Zhang
Advances in neural information processing systems 34, 27131-27145, 2021
1112021
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
1052011
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
1032014
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