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h5 指数:278
h5 中位数:436

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
Attention is all you need A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... Proceedings of the 31st International Conference on Neural Information …	45081	2017
PyTorch: an imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Proceedings of the 33rd International Conference on Neural Information …	16600	2019
A unified approach to interpreting model predictions SM Lundberg, SI Lee Proceedings of the 31st International Conference on Neural Information …	7504	2017
Improved training of wasserstein GANs I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, A Courville Proceedings of the 31st International Conference on Neural Information …	7007	2017
Inductive representation learning on large graphs WL Hamilton, R Ying, J Leskovec Proceedings of the 31st International Conference on Neural Information …	6604	2017
PointNet++ deep hierarchical feature learning on point sets in a metric space CR Qi, L Yi, H Su, LJ Guibas Proceedings of the 31st International Conference on Neural Information …	5106	2017
GANs trained by a two time-scale update rule converge to a local nash equilibrium M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter Proceedings of the 31st International Conference on Neural Information …	4932	2017
XLNet: generalized autoregressive pretraining for language understanding Z Yang, Z Dai, Y Yang, J Carbonell, R Salakhutdinov, QV Le Proceedings of the 33rd International Conference on Neural Information …	4914	2019
LightGBM: a highly efficient gradient boosting decision tree G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu Proceedings of the 31st International Conference on Neural Information …	4851	2017
Prototypical networks for few-shot learning J Snell, K Swersky, R Zemel Proceedings of the 31st International Conference on Neural Information …	4334	2017
Language models are few-shot learners TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... Proceedings of the 34th International Conference on Neural Information …	4306	2020
Dynamic routing between capsules S Sabour, N Frosst, GE Hinton Proceedings of the 31st International Conference on Neural Information …	3778	2017
What uncertainties do we need in Bayesian deep learning for computer vision? A Kendall, Y Gal Proceedings of the 31st International Conference on Neural Information …	2796	2017
Simple and scalable predictive uncertainty estimation using deep ensembles B Lakshminarayanan, A Pritzel, C Blundell Proceedings of the 31st International Conference on Neural Information …	2719	2017
Multi-agent actor-critic for mixed cooperative-competitive environments R Lowe, Y Wu, A Tamar, J Harb, P Abbeel, I Mordatch Proceedings of the 31st International Conference on Neural Information …	2215	2017
Unsupervised image-to-image translation networks MY Liu, T Breuel, J Kautz Proceedings of the 31st International Conference on Neural Information …	2205	2017
Neural ordinary differential equations RTQ Chen, Y Rubanova, J Bettencourt, D Duvenaud Proceedings of the 32nd International Conference on Neural Information …	2173	2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results A Tarvainen, H Valpola Proceedings of the 31st International Conference on Neural Information …	2149	2017
Self-normalizing neural networks G Klambauer, T Unterthiner, A Mayr, S Hochreiter Proceedings of the 31st International Conference on Neural Information …	2066	2017
Glow: generative flow with invertible 1× 1 convolutions DP Kingma, P Dhariwal Proceedings of the 32nd International Conference on Neural Information …	1681	2018

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