Lora: Low-rank adaptation of large language models EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2021 | 5286 | 2021 |
Lora: Low-rank adaptation of large language models. arXiv 2021 EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2023 | 69 | 2023 |
LoRA: low-rank adaptation of large language models (2021) EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2022 | 43 | 2022 |
Learning compact neural networks using ordinary differential equations as activation functions MA Torkamani, P Wallis, S Shankar, A Rooshenas arXiv preprint arXiv:1905.07685, 2019 | 7 | 2019 |
Automatic event detection of rem sleep without atonia from polysomnography signals using deep neural networks P Wallis, D Yaeger, A Kain, X Song, M Lim ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
Differential equations network MA Torkamani, P Wallis US Patent App. 16/160,933, 2019 | 3 | 2019 |
Differential equation units: learning functional forms of activation functions from data MA Torkamani, S Shankar, A Rooshenas, P Wallis Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6030-6037, 2020 | 2 | 2020 |
Learning semantic relationships from medical codes P Wallis, P Danaee The Thirty-Second International Flairs Conference, 2019 | 1 | 2019 |
deBruijn-like sequences and the irregular chromatic number of paths and cycles M Ferrara, C Lee, P Wallis, E Gethner Discrete mathematics 309 (20), 6074-6080, 2009 | 1 | 2009 |
Efficient Fine-Tuning of Deep Neural Networks with Effective Parameter Allocation P Wallis, X Song 2022 IEEE International Conference on Image Processing (ICIP), 3510-3514, 2022 | | 2022 |
Systems and methods for predicting multiple health care outcomes PS Wallis, DJ Yoo US Patent 11,276,495, 2022 | | 2022 |
Differential Equation Networks MA Torkamani, P Wallis | | |