William J. E. Potts

1997–1999

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom William J. E. Potts trusts overall

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

1. Yann LeCun
2. Roger Fletcher
3. Jerome H. Friedman
4. Leo Breiman
5. Trevor J. Hastie

Who trusts William J. E. Potts overall

1. A. Goldstein
2. Rishabh Agarwal

Papers from William J. E. Potts's perspective

Ordered by how strongly the researchers William J. E. Potts trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Going deeper with convolutions

Their papers

• Generalized additive neural networks (1999)
• Visualizing Bagged Decision Trees (1997)