Garrett Wilson

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 1,834 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 556 citations into it; #21,202 of 35,345 by trust here, #19,018 by citations
• Computer Vision and Pattern Recognition — 394 citations into it; #13,171 of 21,575 by trust here, #12,689 by citations
• Representation & Self-Supervised Learning — 179 citations into it; #2,140 of 3,145 by trust here, #2,217 by citations
• Generative Models — 125 citations into it
• Natural Language Processing — 66 citations into it
• Optimization & Training — 49 citations into it
• Information Systems — 43 citations into it
• Reinforcement Learning — 41 citations into it

Whom Garrett Wilson trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yoshua Bengio
5. Kaiming He
6. Yann LeCun
7. Ilya Sutskever
8. Ross B. Girshick
9. Karen Simonyan
10. Alex Graves

Who trusts Garrett Wilson overall

1. Adnan Qayyum
2. Tongkun Xu
3. Mingxia Liu
4. Zachary Nado
5. Marvin Zhang
6. Junaid Qadir
7. Weihua Chen
8. Shreyas Padhy
9. Ishaan Gulrajani
10. Alan Ramponi

Papers from Garrett Wilson's perspective

Ordered by how strongly the researchers Garrett Wilson 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
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. GENERATIVE ADVERSARIAL NETS

Their papers

• A Survey of Unsupervised Deep Domain Adaptation (2018) — 1,027 citations
• Adversarial Transfer Learning (2018) — 14 citations