| Learned Step Size Quantization SK Esser, JL McKinstry, D Bablani, R Appuswamy, DS Modha International Conference on Learning Representations (ICLR) 2020, 2019 | 812* | 2019 |
| Discovering low-precision networks close to full-precision networks for efficient embedded inference JL McKinstry, SK Esser, R Appuswamy, D Bablani, JV Arthur, IB Yildiz, ... NeurIPS'19 Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2018 | 132* | 2018 |
| Neural inference at the frontier of energy, space, and time DS Modha, F Akopyan, A Andreopoulos, R Appuswamy, JV Arthur, ... Science 382 (6668), 329-335, 2023 | 43 | 2023 |
| Learned step size quantization. arXiv 2019 SK Esser, JL McKinstry, D Bablani, R Appuswamy, DS Modha arXiv preprint arXiv:1902.08153, 0 | 10 | |
| Efficient and effective methods for mixed precision neural network quantization for faster, energy-efficient inference D Bablani, JL Mckinstry, SK Esser, R Appuswamy, DS Modha arXiv preprint arXiv:2301.13330, 2023 | 8 | 2023 |
| IBM NorthPole Neural Inference Machine DS Modha, F Akopyan, A Andreopoulos, R Appuswamy, JV Arthur, ... 2023 IEEE Hot Chips 35 Symposium (HCS), 1-58, 2023 | 6 | 2023 |
| Low precision policy distillation with application to low-power, real-time sensation-cognition-action loop with neuromorphic computing JL Mckinstry, DR Barch, D Bablani, MV Debole, SK Esser, JA Kusnitz, ... arXiv preprint arXiv:1809.09260, 2018 | 4 | 2018 |
| 11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip AS Cassidy, JV Arthur, F Akopyan, A Andreopoulos, R Appuswamy, ... 2024 IEEE International Solid-State Circuits Conference (ISSCC) 67, 214-215, 2024 | 2 | 2024 |
| Learned step size quantization S Esser, JL McKinstry, D Bablani, R Appuswamy, DS Modha US Patent 11,823,054, 2023 | 1 | 2023 |
| Improving transfer using augmented feedback in progressive neural networks D Bablani, P Chadha NeurIPS'17 workshop on Cognitively Informed Artificial Intelligence, 0 | | |
| Incorporating Attention in World Models for Improved Dynamics Modeling P Chadha, D Bablani NeurIPS’18 workshop on Modeling the Physical World, 0 | | |
Dharmendra ModhaIBM Fellow在 us.ibm.com 的电子邮件经过验证
