Ethan Harris

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Model Architectures — 10 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Ethan Harris trusts overall

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

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

Who trusts Ethan Harris overall

1. Geoff French
2. Jie Qin
3. Avital Oliver

Papers from Ethan Harris's perspective

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

Their papers

• FMix: Enhancing Mixed Sample Data Augmentation (2020) — 183 citations