KyungHyun Kim

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #33,809 of 35,345 by trust here, #17,776 by citations
• Computer Vision and Pattern Recognition — 15 citations into it
• Graph Learning — 5 citations into it

Whom KyungHyun Kim trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Thomas Kipf
4. Diederik P. Kingma
5. Yoshua Bengio

Who trusts KyungHyun Kim overall

1. Jung-Woo Ha

Papers from KyungHyun Kim's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Human-level control through deep reinforcement learning
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• NSML: Meet the MLaaS platform with a real-world case study (2018) — 137 citations
• Know Your Action Set: Learning Action Relations for Reinforcement Learning (2022) — 14 citations