Angus Galloway

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Safety, Robustness & Interpretability — 46 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Optimization & Training — 12 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Angus Galloway trusts overall

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

1. Ian J. Goodfellow
2. Alex Krizhevsky
3. Christian Szegedy
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Ilya Sutskever
10. Nicholas Carlini

Papers from Angus Galloway's perspective

Ordered by how strongly the researchers Angus Galloway 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Adversarial Training Versus Weight Decay (2018) — 23 citations
• Batch Normalization is a Cause of Adversarial Vulnerability (2019) — 85 citations