204 citations · 490 across the 18 of their papers we have counts for
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cs.LG2022★ 3 cited
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen, Wei Huang, Xinyu Gong +2
Advanced deep neural networks (DNNs), designed by either human or AutoML algorithms, are growing increasingly complex. Diverse operations are connected by complicated connectivity…
cs.LG2021★ 7 cited
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
Wuyang Chen, Xinyu Gong, Junru Wu +5
This work targets designing a principled and unified training-free framework for Neural Architecture Search (NAS), with high performance, low cost, and in-depth interpretation. NAS…
cs.LG2020★ 10 cited
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo, Shahin Boluki, Xinyu Gong +2
Machine learning (ML) systems often encounter Out-of-Distribution (OoD) errors when dealing with testing data coming from a distribution different from training data. It becomes im…