Ryne Roady

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it

Whom Ryne Roady trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ronald Kemker
5. Yoshua Bengio
6. Dan Hendrycks
7. Diederik P. Kingma
8. Yann LeCun
9. Tyler L. Hayes
10. X. Zhang

Who trusts Ryne Roady overall

1. Timothée Lesort
2. Sebastian Buschjäger
3. Massimo Caccia
4. Philipp-Jan Honysz

Papers from Ryne Roady's perspective

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

Their papers

• Stream-51: Streaming Classification and Novelty Detection from Videos (2020) — 28 citations