Jaesik Choi

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Optimization & Training — 20 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Jaesik Choi trusts overall

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

1. Alex Krizhevsky
2. L. Eon Bottou
3. Geoffrey E. Hinton

Papers from Jaesik Choi's perspective

Ordered by how strongly the researchers Jaesik 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. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Large Scale Distributed Deep Networks

Their papers

• HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism (2020) — 174 citations
• XAI—Explainable artificial intelligence (2019) — 1,734 citations
• Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series (2016) — 46 citations