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Phillip Wallis
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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
36082021
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
472023
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, 2021
292021
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
72019
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
42020
Differential equations network
MA Torkamani, P Wallis
US Patent App. 16/160,933, 2019
32019
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
22020
Learning semantic relationships from medical codes
P Wallis, P Danaee
The Thirty-Second International Flairs Conference, 2019
12019
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
12009
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
2018
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