Sam H. Noh
Artificial Intelligence · 2001–2020
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Optimization & Training — 20 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
Whom Sam H. Noh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sam H. Noh's perspective
Ordered by how strongly the researchers Sam H. Noh trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Large Scale Distributed Deep Networks
- Gradient-based learning applied to document recognition
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A unified architecture for natural language processing: deep neural networks with multitask learning
Their papers
- HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism (2020) — 174 citations
- A space-efficient flash translation layer for CompactFlash systems (2002) — 759 citations
- LRFU: A Spectrum of Policies that Subsumes the Least Recently Used and Least Frequently Used Policies (2001) — 641 citations