1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Connecting Independently Trained Modes via Layer-Wise Connectivity
Yongding Tian, Zaid Al-Ars, Maksim Kitsak +1
Empirical studies have shown that continuous low-loss paths can be constructed between independently trained neural network models. This phenomenon, known as mode connectivity, ref…
Vanishing Variance Problem in Fully Decentralized Neural-Network Systems
Yongding Tian, Zaid Al-Ars, Maksim Kitsak +1
Federated learning and gossip learning are emerging methodologies designed to mitigate data privacy concerns by retaining training data on client devices and exclusively sharing lo…
NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models
Mengfei Ji, Yuchun Chang, Baolin Zhang +1
As machine learning (ML) algorithms get deployed in an ever-increasing number of applications, these algorithms need to achieve better trade-offs between high accuracy, high throug…
NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis
Zaid Al-Ars, Obinna Agba, Zhuoran Guo +3
This paper offers a systematic method for creating medical knowledge-grounded patient records for use in activities involving differential diagnosis. Additionally, an assessment of…