Keunhyoung Luke Kim

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #33,634 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Signal Processing — 10 citations into it; #7,233 of 7,572 by trust here, #4,750 by citations
• Speech & Audio — 5 citations into it

Whom Keunhyoung Luke Kim trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ronan Collobert
5. Karen Simonyan
6. Dimitri Palaz
7. Ilya Sutskever
8. Yann LeCun
9. Matthew D. Zeiler
10. Sander Dieleman

Who trusts Keunhyoung Luke Kim overall

1. Xavier Serra

Papers from Keunhyoung Luke Kim's perspective

Ordered by how strongly the researchers Keunhyoung Luke 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms (2017) — 206 citations