Mason McGough

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #15,705 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 43 citations into it; #25,651 of 35,345 by trust here, #14,438 by citations
• Model Architectures — 18 citations into it
• Multimodal Learning — 12 citations into it
• Natural Language Processing — 10 citations into it

Whom Mason McGough trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Yoshua Bengio
6. Andrej Karpathy
7. Yann LeCun
8. Christian Szegedy
9. Li Fei-Fei
10. Ilya Sutskever

Who trusts Mason McGough overall

1. Zizhao Zhang
2. Alfredo Vellido

Papers from Mason McGough's perspective

Ordered by how strongly the researchers Mason McGough 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. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
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

• MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network (2017) — 343 citations
• Pathologist-level interpretable whole-slide cancer diagnosis with deep learning (2019) — 318 citations