Taesung Kim

Management Science and Operations Research · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 6 citations into it

Whom Taesung Kim trusts overall

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

1. Charles C. Holt
2. Slawek Smyl
3. Sergey Ioffe
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Spyros Makridakis
8. Dmitry Ulyanov
9. Yoshua Bengio
10. Guokun Lai

Who trusts Taesung Kim overall

1. Tian Zhou
2. Zhijian Xu
3. Yuqi Nie
4. Yong Liu
5. Si Chen
6. Yiyuan Yang
7. Gerald Woo
8. Ming Jin
9. Haixu Wu
10. Nam H. Nguyen

Papers from Taesung Kim's perspective

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

Their papers

• Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift (2022) — 1,187 citations