| High-resolution image synthesis and semantic manipulation with conditional gans TC Wang, MY Liu, JY Zhu, A Tao, J Kautz, B Catanzaro Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 5350 | 2018 |
| Deep speech 2: End-to-end speech recognition in english and mandarin D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ... International conference on machine learning, 173-182, 2016 | 3942 | 2016 |
| The landscape of parallel computing research: A view from berkeley K Asanovic, R Bodik, B Catanzaro, J Gebis, P Husbands, K Keutzer, ... | 3156 | 2006 |
| Deep speech: Scaling up end-to-end speech recognition A Hannun, C Case, J Casper, B Catanzaro, G Diamos, E Elsen, ... arXiv preprint arXiv:1412.5567, 2014 | 2803 | 2014 |
| Image inpainting for irregular holes using partial convolutions G Liu, FA Reda, KJ Shih, TC Wang, A Tao, B Catanzaro Proceedings of the European conference on computer vision (ECCV), 85-100, 2018 | 2650 | 2018 |
| cudnn: Efficient primitives for deep learning S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ... arXiv preprint arXiv:1410.0759, 2014 | 2436 | 2014 |
| Megatron-lm: Training multi-billion parameter language models using model parallelism M Shoeybi, M Patwary, R Puri, P LeGresley, J Casper, B Catanzaro arXiv preprint arXiv:1909.08053, 2019 | 2035 | 2019 |
| Diffwave: A versatile diffusion model for audio synthesis Z Kong, W Ping, J Huang, K Zhao, B Catanzaro arXiv preprint arXiv:2009.09761, 2020 | 1539 | 2020 |
| Waveglow: A flow-based generative network for speech synthesis R Prenger, R Valle, B Catanzaro ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1339 | 2019 |
| Video-to-video synthesis TC Wang, MY Liu, JY Zhu, G Liu, A Tao, J Kautz, B Catanzaro arXiv preprint arXiv:1808.06601, 2018 | 1275 | 2018 |
| Deep learning with COTS HPC systems A Coates, B Huval, T Wang, D Wu, B Catanzaro, N Andrew International conference on machine learning, 1337-1345, 2013 | 994 | 2013 |
| Malware detection by eating a whole exe E Raff, J Barker, J Sylvester, R Brandon, B Catanzaro, C Nicholas arXiv preprint arXiv:1710.09435, 2017 | 784 | 2017 |
| Efficient large-scale language model training on gpu clusters using megatron-lm D Narayanan, M Shoeybi, J Casper, P LeGresley, M Patwary, ... Proceedings of the international conference for high performance computing …, 2021 | 779 | 2021 |
| ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers Y Balaji, S Nah, X Huang, A Vahdat, J Song, Q Zhang, K Kreis, M Aittala, ... arXiv preprint arXiv:2211.01324, 2022 | 770 | 2022 |
| PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation A Klöckner, N Pinto, Y Lee, B Catanzaro, P Ivanov, A Fasih Parallel computing 38 (3), 157-174, 2012 | 757 | 2012 |
| Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ... arXiv preprint arXiv:2201.11990, 2022 | 665 | 2022 |
| Hierarchical multi-scale attention for semantic segmentation A Tao, K Sapra, B Catanzaro arXiv preprint arXiv:2005.10821, 2020 | 619 | 2020 |
| Performing multi-convolution operations in a parallel processing system S Chetlur, B Catanzaro US Patent 6,719,533, 2019 | 608 | 2019 |
| Fast support vector machine training and classification on graphics processors B Catanzaro, N Sundaram, K Keutzer Proceedings of the 25th international conference on Machine learning, 104-111, 2008 | 547 | 2008 |
| Improving semantic segmentation via video propagation and label relaxation Y Zhu, K Sapra, FA Reda, KJ Shih, S Newsam, A Tao, B Catanzaro Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 516 | 2019 |
Andrew TaoNvidia在 nvidia.com 的电子邮件经过验证
