| Understanding deep learning requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals arXiv preprint arXiv:1611.03530, 2016 | 5383 | 2016 |
| 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 | 2931 | 2015 |
| 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 | 2774 | 2021 |
| Transfusion: Understanding transfer learning for medical imaging M Raghu, C Zhang, J Kleinberg, S Bengio Advances in Neural Information Processing Systems, 2019 | 1424 | 2019 |
| Unsupervised feature selection for multi-cluster data D Cai, C Zhang, X He Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 1389 | 2010 |
| 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 | 1197 | 2021 |
| Training deep nets with sublinear memory cost T Chen, B Xu, C Zhang, C Guestrin arXiv preprint arXiv:1604.06174, 2016 | 1119 | 2016 |
| Learning with a Wasserstein loss C Frogner, C Zhang, H Mobahi, M Araya, TA Poggio Advances in neural information processing systems 28, 2015 | 742 | 2015 |
| Quantifying memorization across neural language models N Carlini, D Ippolito, M Jagielski, K Lee, F Tramer, C Zhang The Eleventh International Conference on Learning Representations, 2022 | 697 | 2022 |
| Machine theory of mind N Rabinowitz, F Perbet, F Song, C Zhang, SMA Eslami, M Botvinick International conference on machine learning, 4218-4227, 2018 | 695 | 2018 |
| 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 | 608 | 2021 |
| What is being transferred in transfer learning? B Neyshabur, H Sedghi, C Zhang Advances in Neural Information Processing Systems, 2020 | 591 | 2020 |
| A study on overfitting in deep reinforcement learning C Zhang, O Vinyals, R Munos, S Bengio arXiv preprint arXiv:1804.06893, 2018 | 513 | 2018 |
| 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 | 497 | 2020 |
| 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 | 309 | 2017 |
| Are all layers created equal? C Zhang, S Bengio, Y Singer Journal of Machine Learning Research 23 (67), 1-28, 2022 | 191 | 2022 |
| 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 | 174 | 2021 |
| Counterfactual memorization in neural language models C Zhang, D Ippolito, K Lee, M Jagielski, F Tramèr, N Carlini Advances in Neural Information Processing Systems 36, 39321-39362, 2023 | 154 | 2023 |
| Preventing verbatim memorization in language models gives a false sense of privacy D Ippolito, F Tramèr, M Nasr, C Zhang, M Jagielski, K Lee, ... arXiv preprint arXiv:2210.17546, 2022 | 146 | 2022 |
| Characterizing Structural Regularities of Labeled Data in Overparameterized Models Z Jiang, C Zhang, K Talwar, MC Mozer International Conference on Machine Learning, Long Presentation, 2021 | 128* | 2021 |
Deng CaiProfessor of Computer Science, Zhejiang UniversityVerifisert e-postadresse på cad.zju.edu.cn