Tyler R. Scott

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 18 citations into it
• Representation & Self-Supervised Learning — 18 citations into it; #1,522 of 3,145 by trust here, #2,516 by citations

Whom Tyler R. Scott trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Yoshua Bengio
6. Gregory R. Koch
7. Oriol Vinyals
8. Dong Yi
9. Ruslan Salakhutdinov
10. Jimmy Ba

Who trusts Tyler R. Scott overall

1. Han-Jia Ye
2. Qianru Sun
3. De-chuan Zhan
4. Hexiang Hu
5. Yaoyao Liu
6. Fei Sha
7. Tat-seng Chua
8. Lu Ming
9. Bernt Schiele
10. Lanqing Hong

Papers from Tyler R. Scott's perspective

Ordered by how strongly the researchers Tyler R. Scott 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning (2018) — 90 citations