| Generative adversarial nets I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems, 2672-2680, 2014 | 20598 | 2014 |
| 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, ... LearningSys Workshop, NIPS 2015, 2015 | 1372 | 2015 |
| Empirical Evaluation of Rectified Activations in Convolutional Network B Xu, N Wang, T Chen, M Li Deep Learning Workshop, ICML 2015, 2015 | 1166 | 2015 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... International conference on neural information processing, 117-124, 2013 | 343 | 2013 |
| Training deep nets with sublinear memory cost T Chen, B Xu, C Zhang, C Guestrin arXiv preprint arXiv:1604.06174, 2016 | 200 | 2016 |
| Learning with a strong adversary R Huang, B Xu, D Schuurmans, C Szepesvári arXiv preprint arXiv:1511.03034, 2015 | 180 | 2015 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural Networks 64, 59-63, 2015 | 147 | 2015 |
| Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng Proceedings of the IEEE International Conference on Computer Vision, 3435-3444, 2019 | 80 | 2019 |
| Revise Saturated Activation Functions B Xu, R Huang, M Li ICLR 2016 Workshop, 2016 | 32 | 2016 |
| Horizontal and Vertical Ensemble with Deep Representation for Classification J Xie, B Xu, Z Chuang Representation Learning Workshop, ICML 2013, 2013 | 24 | 2013 |
| Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition B Xu, A Tulloch, Y Chen, X Yang, L Qiao arXiv preprint arXiv:1911.08609, 2019 | | 2019 |
Ian GoodfellowVerified email at cs.stanford.edu
