Young-ri Choi

Artificial Intelligence · 2004–2020

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 — 29 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Optimization & Training — 20 citations into it

Whom Young-ri Choi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky

Papers from Young-ri Choi's perspective

Ordered by how strongly the researchers Young-ri Choi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Large Scale Distributed Deep Networks
7. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
8. A unified architecture for natural language processing: deep neural networks with multitask learning
9. TensorFlow: A system for large-scale machine learning
10. Gradient-based learning applied to document recognition

Their papers

• ExScal: elements of an extreme scale wireless sensor network (2005) — 368 citations
• HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism (2020) — 174 citations
• A line in the sand: a wireless sensor network for target detection, classification, and tracking (2004) — 997 citations