Trevor Scott Standley

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it; #7,673 of 35,345 by trust here, #14,718 by citations
• Computer Vision and Pattern Recognition — 35 citations into it; #5,587 of 21,575 by trust here, #10,010 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 8 citations into it

Whom Trevor Scott Standley trusts overall

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

1. David Silver
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. R. Caruana
5. Yoshua Bengio
6. Kaiming He
7. Sebastian Thrun
8. Andrew Zisserman
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Trevor Scott Standley overall

1. Glenn Wagner
2. Roni Stern
3. Max Barer
4. Jiaoyang Li
5. Guni Sharon
6. Michael Crawshaw
7. Howie Choset
8. Ariel Felner
9. Ximeng Sun
10. Zhipeng Bao

Papers from Trevor Scott Standley's perspective

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

Their papers

• Which Tasks Should Be Learned Together in Multi-task Learning? (2019) — 689 citations
• Finding Optimal Solutions to Cooperative Pathfinding Problems (2010) — 447 citations