Byeongdo Kim

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Management Science and Operations Research — 5 citations into it; #6,455 of 11,946 by trust here, #9,931 by citations

Whom Byeongdo Kim trusts overall

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

1. Ruichen Jin
2. Timothy W. Simpson
3. Diederik P. Kingma
4. Wei Chen
5. Peter Ondruska
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Kyunghyun Cho
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Byeongdo Kim overall

1. S. Dey
2. Dong Zhao
3. Tanmoy Mukhopadhyay
4. Deyi Xue
5. Sondipon Adhikari

Papers from Byeongdo Kim's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Comparison study on the accuracy of metamodeling technique for non-convex functions (2009) — 99 citations
• Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture (2018) — 474 citations