David Leslie

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 71 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 111 citations into it
• Safety Research — 78 citations into it
• Safety, Robustness & Interpretability — 72 citations into it; #992 of 2,251 by trust here, #1,975 by citations
• Sociology and Political Science — 41 citations into it
• AI Ethics, Fairness & Society — 33 citations into it; #174 of 494 by trust here, #371 by citations
• Information Systems — 25 citations into it
• Cognitive Neuroscience — 18 citations into it
• Computer Science Applications — 14 citations into it

Whom David Leslie trusts overall

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

1. Corinne Cath
2. Douglas Walton
3. Wei Dai
4. Luciano Floridi
5. Cynthia Rudin
6. Reuben Binns
7. Sandra Wachter
8. Daniel Neyland
9. Geoffrey E. Hinton
10. Adrian Mackenzie

Who trusts David Leslie overall

1. S. Lo Piano
2. Alejandro Barredo Arrieta
3. Emilio Ferrara
4. Bradley C. Boehmke
5. Andrei Paleyes
6. Natalia Díaz Rodríguez
7. Josh Cowls
8. Eduardo Mosqueira-Rey
9. Javier Del Ser

Papers from David Leslie's perspective

Ordered by how strongly the researchers David Leslie 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Understanding artificial intelligence ethics and safety (2019) — 494 citations