Neil Fendley

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it; #14,973 of 21,575 by trust here, #10,905 by citations
• Management Science and Operations Research — 6 citations into it
• Media Technology — 6 citations into it; #2,315 of 3,621 by trust here, #1,242 by citations
• Model Architectures — 5 citations into it

Whom Neil Fendley trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Kaiming He
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Jimmy Ba
8. Yoshua Bengio
9. Yi Yang
10. Yann LeCun

Who trusts Neil Fendley overall

1. Hyojin Bahng
2. Adam Van Etten
3. Ali Jahanian
4. Mitchell Wortsman
5. Chao Tao

Papers from Neil Fendley's perspective

Ordered by how strongly the researchers Neil Fendley 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Functional Map of the World (2017) — 530 citations
• L2Explorer: A Lifelong Reinforcement Learning Assessment Environment (2022) — 13 citations