2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.PF2025
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
Xinlong Zhao, Jiande Sun, Jia Zhang +4
Predicting the performance of deep learning (DL) models, such as execution time and resource utilization, is crucial for Neural Architecture Search (NAS), DL cluster schedulers, an…
cs.AI2024★ 2 cited
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence
Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak +4
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exp…
cs.LG2023
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data
Xulong Wang, Yu Zhang, Menghui Zhou +3
Identifying and utilising various biomarkers for tracking Alzheimer's disease (AD) progression have received many recent attentions and enable helping clinicians make the prompt de…