Yunwon Tae

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 Yunwon Tae trusts overall

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

1. Charles C. Holt
2. Slawek Smyl
3. Sergey Ioffe

Who trusts Yunwon Tae overall

1. Tian Zhou

Papers from Yunwon Tae's perspective

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

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

Their papers

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