| Generative adversarial networks I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Communications of the ACM 63 (11), 139-144, 2020 | 60579 | 2020 |
| Empirical Evaluation of Rectified Activations in Convolutional Network B Xu, N Wang, T Chen, M Li Deep Learning Workshop, ICML 2015, 2015 | 3280 | 2015 |
| 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 | 2454 | 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 Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 1483 | 2013 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 1483 | 2013 |
| Training deep nets with sublinear memory cost T Chen, B Xu, C Zhang, C Guestrin arXiv preprint arXiv:1604.06174, 2016 | 617 | 2016 |
| 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/CVF international conference on computer vision …, 2019 | 479 | 2019 |
| Learning with a strong adversary R Huang, B Xu, D Schuurmans, C Szepesvári arXiv preprint arXiv:1511.03034, 2015 | 389 | 2015 |
| Generative adversarial nets M Mirza, B Xu, D Warde-Farley, S Ozair, A Courville, Y Bengio, ... Advances in neural information processing systems 27, 2672-2680, 2014 | 118 | 2014 |
| & Bengio, Y.(2014) I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair Generative adversarial nets 27, 2014 | 111 | 2014 |
| Revise Saturated Activation Functions B Xu, R Huang, M Li ICLR 2016 Workshop, 2016 | 80 | 2016 |
| Horizontal and Vertical Ensemble with Deep Representation for Classification J Xie, B Xu, Z Chuang Representation Learning Workshop, ICML 2013, 2013 | 74 | 2013 |
| Proceedings of the 27th International Conference on Neural Information Processing Systems IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Proceedings of the 27th International Conference on Neural Information …, 2014 | 67 | 2014 |
| Generative adversarial nets J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, A Courvill, ... arXiv preprint arXiv:1406.2661, 2014 | 36 | 2014 |
| Training deep nets with sublinear memory cost. CoRR abs/1604.06174 (2016) T Chen, B Xu, C Zhang, C Guestrin arXiv preprint arXiv:1604.06174, 2016 | 15 | 2016 |
| C. Szepesv ari,“Learning with a strong adversary,” R Huang, B Xu, D Schuurmans arXiv preprint arXiv:1511.03034, 1-12, 2015 | 6 | 2015 |
| 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 | 5 | 2019 |
| Training deep nets with sublinear memory cost. arXiv 2016 T Chen, B Xu, C Zhang, C Guestrin arXiv preprint arXiv:1604.06174, 2016 | 5 | 2016 |
Ian GoodfellowDeepMindVerified email at deepmind.com
