Daejoong Kim

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Meta & Continual Learning — 6 citations into it

Whom Daejoong Kim trusts overall

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

1. Herbert Jaeger
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Diederik P. Kingma
7. Chelsea Finn
8. Yann LeCun
9. David Lopez-Paz
10. Marc'Aurelio Ranzato

Papers from Daejoong Kim's perspective

Ordered by how strongly the researchers Daejoong Kim 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Meta Continual Learning (2018) — 28 citations