| 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 | 4171 | 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 | 3412 | 2016 |
| The landscape of parallel computing research: A view from berkeley K Asanovic, R Bodik, BC Catanzaro, JJ Gebis, P Husbands, K Keutzer, ... eScholarship, University of California 1, 1, 2006 | 3066 | 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 | 2435 | 2014 |
| cudnn: Efficient primitives for deep learning S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ... arXiv preprint arXiv:1410.0759, 2014 | 2109 | 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 | 2035 | 2018 |
| 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 | 1080 | 2019 |
| 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 | 1032 | 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 | 1029 | 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 | 942 | 2013 |
| Diffwave: A versatile diffusion model for audio synthesis Z Kong, W Ping, J Huang, K Zhao, B Catanzaro arXiv preprint arXiv:2009.09761, 2020 | 707 | 2020 |
| 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 | 701 | 2012 |
| Malware detection by eating a whole exe E Raff, J Barker, J Sylvester, R Brandon, B Catanzaro, CK Nicholas Workshops at the thirty-second AAAI conference on artificial intelligence, 2018 | 573 | 2018 |
| 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 | 536 | 2008 |
| Performing multi-convolution operations in a parallel processing system S Chetlur, B Catanzaro US Patent 6,719,533, 2019 | 491 | 2019 |
| Hierarchical multi-scale attention for semantic segmentation A Tao, K Sapra, B Catanzaro arXiv preprint arXiv:2005.10821, 2020 | 459 | 2020 |
| 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 | 416 | 2019 |
| 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 | 360 | 2022 |
| Few-shot video-to-video synthesis TC Wang, MY Liu, A Tao, G Liu, J Kautz, B Catanzaro arXiv preprint arXiv:1910.12713, 2019 | 340 | 2019 |
| DSD: regularizing deep neural networks with dense-sparse-dense training flow S Han, J Pool, S Narang, H Mao, S Tang, E Elsen, B Catanzaro, J Tran, ... | 303* | 2016 |
Awni HannunMachine Learning Research, AppleVerified email at apple.com
