Individualized Treat

Statistics and Probability · 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 Individualized Treat 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. J. Lunceford

Who trusts Individualized Treat overall

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

Papers from Individualized Treat's perspective

Ordered by how strongly the researchers Individualized Treat 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. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GENERATIVE ADVERSARIAL NETS (2018)