Ruairidh M. Battleday

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 166 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #31,210 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Model Architectures — 8 citations into it
• Safety, Robustness & Interpretability — 8 citations into it; #1,972 of 2,251 by trust here, #2,041 by citations
• Evaluation & Benchmarks — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Ruairidh M. Battleday trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Antonio Torralba
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Karen Simonyan
8. Ian J. Goodfellow
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Ruairidh M. Battleday overall

1. Hussein Mozannar

Papers from Ruairidh M. Battleday's perspective

Ordered by how strongly the researchers Ruairidh M. Battleday 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

• Human Uncertainty Makes Classification More Robust (2019) — 386 citations