68 citations · 135 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Digital Twin Ecosystem for Oncology Clinical Operations
Himanshu Pandey, Akhil Amod, Shivang +4
Artificial Intelligence (AI) and Large Language Models (LLMs) hold significant promise in revolutionizing healthcare, especially in clinical applications. Simultaneously, Digital T…
cs.LG2019★ 68 cited
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas +1
Distributed optimization is essential for training large models on large datasets. Multiple approaches have been proposed to reduce the communication overhead in distributed traini…
cs.LG2018★ 67 cited
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal, Sarthak Mittal, Aristide Baratin +4
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 result…