252 citations · 271 across the 4 of their papers we have counts for
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cs.LG2019★ 252 cited
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Esteban Real +3
Recent advances in neural architecture search (NAS) demand tremendous computational resources, which makes it difficult to reproduce experiments and imposes a barrier-to-entry to r…
cs.LG2019★ 12 cited
Large-Batch Training for LSTM and Beyond
Yang You, Jonathan Hseu, Chris Ying +3
Large-batch training approaches have enabled researchers to utilize large-scale distributed processing and greatly accelerate deep-neural net (DNN) training. For example, by scalin…
cs.LG2018
Image Classification at Supercomputer Scale
Chris Ying, Sameer Kumar, Dehao Chen +2
Deep learning is extremely computationally intensive, and hardware vendors have responded by building faster accelerators in large clusters. Training deep learning models at petaFL…