| 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 | 3940 | 2016 |
| Dota 2 with large scale deep reinforcement learning OpenAI, C Berner, G Brockman, B Chan, V Cheung, P Dębiak, ... arXiv preprint arXiv:1912.06680, 2019 | 2294* | 2019 |
| Deep Voice 3: Scaling text-to-speech with convolutional sequence learning W Ping, K Peng, A Gibiansky, SO Arik, A Kannan, S Narang, J Raiman, ... arXiv preprint arXiv:1710.07654, 2017 | 922* | 2017 |
| Deep Voice: Real-time neural text-to-speech SÖ Arık, M Chrzanowski, A Coates, G Diamos, A Gibiansky, Y Kang, X Li, ... International Conference on Machine Learning, 195-204, 2017 | 874 | 2017 |
| Deep Voice 2: Multi-speaker neural text-to-speech A Gibiansky, S Arik, G Diamos, J Miller, K Peng, W Ping, J Raiman, ... Advances in neural information processing systems 30, 2017 | 665* | 2017 |
| DeepType: Multilingual Entity Linking By Neural Type System Evolution J Raiman, O Raiman Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 228 | 2018 |
| Chipnemo: Domain-adapted llms for chip design M Liu, TD Ene, R Kirby, C Cheng, N Pinckney, R Liang, J Alben, H Anand, ... arXiv preprint arXiv:2311.00176, 2023 | 137 | 2023 |
| Systems and methods for multi-speaker neural text-to-speech G DIAMOS, A GIBIANSKY, J Miller, P Kainan, P Wei, J RAIMAN, Z Yanqi US Patent 10,896,669, 2021 | 91 | 2021 |
| NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models C Lee, R Roy, M Xu, J Raiman, M Shoeybi, B Catanzaro, W Ping arXiv preprint arXiv:2405.17428, 2024 | 78 | 2024 |
| PrefixRL: Optimization of parallel prefix circuits using deep reinforcement learning R Roy, J Raiman, N Kant, I Elkin, R Kirby, M Siu, S Oberman, S Godil, ... 2021 58th ACM/IEEE Design Automation Conference (DAC), 853-858, 2021 | 58 | 2021 |
| Globally Normalized Reader J Raiman, J Miller Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 39 | 2017 |
| Openai Five OpenAI, J Pachocki, G Brockman, J Raiman, S Zhang, H Pondé, J Tang, ... URL https://blog.openai.com/openai-five, 2018 | 25* | 2018 |
| Systems and methods for parallel wave generation in end-to-end text-to-speech P Wei, P Kainan, C Jitong US Patent 10,872,596, 2020 | 24 | 2020 |
| Systems and methods for real-time neural text-to-speech M Chrzanowski, A Coates, G DIAMOS, A GIBIANSKY, J Miller, A Ng, ... US Patent 10,872,598, 2020 | 24 | 2020 |
| Long Term Planning and Situational Awareness in OpenAI Five J Raiman, S Zhang, F Wolski Knowledge Representation & Reasoning Meets Machine Learning Workshop NeurIPS …, 2019 | 18 | 2019 |
| Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper H Ren, S Godil, B Khailany, R Kirby, H Liao, S Nath, J Raiman, R Roy 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-6, 2021 | 14 | 2021 |
| Deeptype 2: Superhuman entity linking, all you need is type interactions J Raiman Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8028-8035, 2022 | 10 | 2022 |
| Lazy compilation and kernel fusion in dynamic computation graphs J Raiman US Patent 10,901,715, 2021 | 10 | 2021 |
| Systems and methods for neural text-to-speech using convolutional sequence learning P Wei, P Kainan, S NARANG, A KANNAN, A GIBIANSKY, J RAIMAN, ... US Patent 10,796,686, 2020 | 10 | 2020 |
| Neural Network Surgery with Sets J Raiman, S Zhang, C Dennison Workshop on Systems for ML and Open Source Software at NeurIPS 2019, 2019 | 10 | 2019 |
John P MillerOntario Institute for Studies in Education at the U of Toronto在 utoronto.ca 的电子邮件经过验证