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h5 指数:237
h5 中位数:421

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2017-2021 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

标题/作者	引用次数	年份
Wasserstein generative adversarial networks M Arjovsky, S Chintala, L Bottou Proceedings of the 34th International Conference on Machine Learning-Volume …	10129	2017
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. M Tan, QV Le ICML, 6105-6114	7123	2019
Model-agnostic meta-learning for fast adaptation of deep networks C Finn, P Abbeel, S Levine Proceedings of the 34th International Conference on Machine Learning-Volume …	6354	2017
A simple framework for contrastive learning of visual representations T Chen, S Kornblith, M Norouzi, G Hinton Proceedings of the 37th International Conference on Machine Learning, 1597-1607	4985	2020
Neural message passing for Quantum chemistry J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl Proceedings of the 34th International Conference on Machine Learning-Volume …	3762	2017
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor. T Haarnoja, A Zhou, P Abbeel, S Levine ICML, 1856-1865	3327	2018
Convolutional sequence to sequence learning J Gehring, M Auli, D Grangier, D Yarats, YN Dauphin Proceedings of the 34th International Conference on Machine Learning-Volume …	2901	2017
Self-Attention Generative Adversarial Networks. H Zhang, IJ Goodfellow, DN Metaxas, A Odena ICML, 7354-7363	2735	2019
Axiomatic attribution for deep networks M Sundararajan, A Taly, Q Yan Proceedings of the 34th International Conference on Machine Learning-Volume …	2695	2017
Conditional image synthesis with auxiliary classifier GANs A Odena, C Olah, J Shlens Proceedings of the 34th International Conference on Machine Learning-Volume …	2639	2017
On calibration of modern neural networks C Guo, G Pleiss, Y Sun, KQ Weinberger Proceedings of the 34th International Conference on Machine Learning-Volume …	2529	2017
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. A Athalye, N Carlini, DA Wagner ICML, 274-283	2215	2018
Learning important features through propagating activation differences A Shrikumar, P Greenside, A Kundaje Proceedings of the 34th International Conference on Machine Learning-Volume …	2125	2017
Addressing Function Approximation Error in Actor-Critic Methods. S Fujimoto, H van Hoof, D Meger ICML, 1582-1591	2042	2018
Efficient Neural Architecture Search via Parameter Sharing. H Pham, MY Guan, B Zoph, QV Le, J Dean ICML, 4092-4101	2018	2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, AA Efros, T Darrell ICML, 1994-2003	2014	2018
Learning to discover cross-domain relations with generative adversarial networks T Kim, M Cha, H Kim, JK Lee, J Kim Proceedings of the 34th International Conference on Machine Learning-Volume …	1770	2017
Understanding black-box predictions via influence functions PW Koh, P Liang Proceedings of the 34th International Conference on Machine Learning-Volume …	1674	2017
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan Proceedings of the 34th International Conference on Machine Learning-Volume …	1608	2017
Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell Proceedings of the 34th International Conference on Machine Learning-Volume …	1604	2017

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