Howard Choi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Howard Choi trusts overall

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

1. Geoffrey E. Hinton
2. Isabelle M Guyon

Papers from Howard Choi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Visualizing Data using t-SNE
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Representation Learning: A Review and New Perspectives
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Machine Learning and Integrative Analysis of Biomedical Big Data (2019) — 304 citations