Dae Hoon Park

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it; #19,304 of 21,575 by trust here, #19,310 by citations
• Safety, Robustness & Interpretability — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Dae Hoon Park trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten
3. Alex Krizhevsky
4. Jimmy Ba
5. Yann LeCun
6. Yoshua Bengio
7. R. Caruana
8. Radford M. Neal
9. Yarin Gal
10. Zachary Chase Lipton

Who trusts Dae Hoon Park overall

1. Amina Adadi
2. D. V. Carvalho
3. Davinder Kaur

Papers from Dae Hoon Park's perspective

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

Their papers

• Interpreting Deep Classifier by Visual Distillation of Dark Knowledge (2018) — 30 citations