Anthony Gachagan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 98 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #21,060 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 30 citations into it; #13,098 of 21,575 by trust here, #14,478 by citations
• Model Architectures — 22 citations into it
• Optimization & Training — 11 citations into it
• Signal Processing — 7 citations into it

Whom Anthony Gachagan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Kaiming He
5. Radford M. Neal
6. Yann LeCun
7. Ilya Sutskever
8. Xavier Glorot
9. Diederik P. Kingma
10. Christian Szegedy

Who trusts Anthony Gachagan overall

1. Luís Pinto-Coelho
2. Tomasz Szandala
3. Colby Wight

Papers from Anthony Gachagan's perspective

Ordered by how strongly the researchers Anthony Gachagan 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
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

• Activation Functions: Comparison of trends in Practice and Research for Deep Learning (2018) — 1,459 citations