Jinsung Yoon

Statistics and Probability · with Treat · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 2,317 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it
• Causal Inference & Discovery — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Jinsung Yoon trusts overall

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

1. Susan Athey
2. Jennifer L. Hill
3. R. Lalonde
4. Uri Shalit
5. Fredrik D. Johansson
6. Mehdi Mirza
7. Stefan Wager
8. James Bergstra
9. Guido W. Imbens
10. Yoshua Bengio

Who trusts Jinsung Yoon overall

1. Yoshua Bengio
2. Sergey Levine
3. Zhe Gan
4. Trevor Darrell
5. Dacheng Tao
6. Mohit Bansal
7. Luc Van Gool
8. Andrea Vedaldi
9. Xiaodan Liang
10. Bernt Schiele

Papers from Jinsung Yoon's perspective

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

Their papers

• GENERATIVE ADVERSARIAL NETS (2018)