Jared Sylvester

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 67 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #23,713 of 35,345 by trust here, #29,412 by citations
• Computer Vision and Pattern Recognition — 21 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Optimization & Training — 13 citations into it
• Model Architectures — 12 citations into it
• Safety Research — 12 citations into it; #3,176 of 5,829 by trust here, #4,580 by citations
• AI Ethics, Fairness & Society — 9 citations into it
• Information Systems — 8 citations into it

Whom Jared Sylvester trusts overall

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

1. Harrison Edwards
2. Richard S. Zemel
3. Toon Calders
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Kaiming He
7. Christos Louizos
8. Jerome H. Friedman
9. Alex Krizhevsky
10. Faisal Kamiran

Who trusts Jared Sylvester overall

1. Ben Green
2. Luca Oneto
3. Ulrich Matchi Aïvodji

Papers from Jared Sylvester's perspective

Ordered by how strongly the researchers Jared Sylvester 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• What About Applied Fairness? (2018) — 11 citations
• Malware Detection by Eating a Whole EXE (2017) — 690 citations
• Fair Forests: Regularized Tree Induction to Minimize Model Bias (2017) — 76 citations