Legality of Cannabis by U.S. Jurisdiction

h5-index:169
h5-median:334

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2014-2018 have at least h citations each.hide

h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide

Title / Author	Cited by	Year
Faster R-CNN: towards real-time object detection with region proposal networks S Ren, K He, R Girshick, J Sun Proceedings of the 28th International Conference on Neural Information …	10517	2015
Generative adversarial nets IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Proceedings of the 27th International Conference on Neural Information …	10175	2014
Sequence to sequence learning with neural networks I Sutskever, O Vinyals, QV Le Proceedings of the 27th International Conference on Neural Information …	6991	2014
Two-stream convolutional networks for action recognition in videos K Simonyan, A Zisserman Proceedings of the 27th International Conference on Neural Information …	2735	2014
How transferable are features in deep neural networks? J Yosinski, J Clune, Y Bengio, H Lipson Proceedings of the 27th International Conference on Neural Information …	2732	2014
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 …	2427	2017
Improved techniques for training GANs T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen Proceedings of the 30th International Conference on Neural Information …	2019	2016
Learning deep features for scene recognition using places database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva Proceedings of the 27th International Conference on Neural Information …	1895	2014
Spatial transformer networks M Jaderberg, K Simonyan, A Zisserman, K Kavukcuoglu Proceedings of the 28th International Conference on Neural Information …	1776	2015
Improved training of wasserstein GANs I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, A Courville Proceedings of the 31st International Conference on Neural Information …	1485	2017
R-FCN: object detection via region-based fully convolutional networks J Dai, Y Li, K He, J Sun Proceedings of the 30th International Conference on Neural Information …	1448	2016
Learning both weights and connections for efficient neural networks S Han, J Pool, J Tran, WJ Dally Proceedings of the 28th International Conference on Neural Information …	1375	2015
Character-level convolutional networks for text classification X Zhang, J Zhao, Y LeCun Proceedings of the 28th International Conference on Neural Information …	1281	2015
Recurrent models of visual attention V Mnih, N Heess, A Graves, K Kavukcuoglu Proceedings of the 27th International Conference on Neural Information …	1168	2014
InfoGAN: interpretable representation learning by information maximizing generative adversarial nets X Chen, Y Duan, R Houthooft, J Schulman, I Sutskever, P Abbeel Proceedings of the 30th International Conference on Neural Information …	1109	2016
Skip-thought vectors R Kiros, Y Zhu, R Salakhutdinov, RS Zemel, A Torralba, R Urtasun, ... Proceedings of the 28th International Conference on Neural Information …	1106	2015
End-to-end memory networks S Sukhbaatar, A Szlam, J Weston, R Fergus Proceedings of the 28th International Conference on Neural Information …	1088	2015
Deep generative image models using a Laplacian pyramid of adversarial networks E Denton, S Chintala, A Szlam, R Fergus Proceedings of the 28th International Conference on Neural Information …	1055	2015
Semi-supervised learning with deep generative models DP Kingma, DJ Rezende, S Mohamed, M Welling Proceedings of the 27th International Conference on Neural Information …	998	2014
Depth map prediction from a single image using a multi-scale deep network D Eigen, C Puhrsch, R Fergus Proceedings of the 27th International Conference on Neural Information …	995	2014

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Dates and citation counts are estimated and are determined automatically by a computer program.

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Legality of Cannabis by U.S. Jurisdiction

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