Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tantia, Vinayak"'
Autor:
Pandey, Himanshu, Amod, Akhil, Shivang, Jaggi, Kshitij, Garg, Ruchi, Jain, Abheet, Tantia, Vinayak
Artificial Intelligence (AI) and Large Language Models (LLMs) hold significant promise in revolutionizing healthcare, especially in clinical applications. Simultaneously, Digital Twin technology, which models and simulates complex systems, has gained
Externí odkaz:
http://arxiv.org/abs/2409.17650
Distributed optimization is essential for training large models on large datasets. Multiple approaches have been proposed to reduce the communication overhead in distributed training, such as synchronizing only after performing multiple local SGD ste
Externí odkaz:
http://arxiv.org/abs/1910.00643
Autor:
Neal, Brady, Mittal, Sarthak, Baratin, Aristide, Tantia, Vinayak, Scicluna, Matthew, Lacoste-Julien, Simon, Mitliagkas, Ioannis
Publikováno v:
ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena
The bias-variance tradeoff tells us that as model complexity increases, bias falls and variances increases, leading to a U-shaped test error curve. However, recent empirical results with over-parameterized neural networks are marked by a striking abs
Externí odkaz:
http://arxiv.org/abs/1810.08591