B. Gilby

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it

Whom B. Gilby trusts overall

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

1. Alex Krizhevsky
2. Hugo Touvron
3. Kaiming He
4. Dan Hendrycks
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Ilya Sutskever
8. Diederik P. Kingma
9. Yoshua Bengio
10. Christian Szegedy

Papers from B. Gilby's perspective

Ordered by how strongly the researchers B. Gilby 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet Large Scale Visual Recognition Challenge
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers (2021) — 18 citations