Geoff Stuart Nitschke

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 205 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #9,466 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 11 citations into it; #14,666 of 35,345 by trust here, #26,682 by citations

Whom Geoff Stuart Nitschke trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Kaiming He
6. Yurii E. Nesterov
7. Yoshua Bengio
8. Yann LeCun
9. Matthew D. Zeiler
10. Andrew Zisserman

Who trusts Geoff Stuart Nitschke overall

1. Connor Shorten
2. Xiang Wang
3. Junfan Wang
4. Jiaao Chen
5. Taghi M. Khoshgoftaar

Papers from Geoff Stuart Nitschke's perspective

Ordered by how strongly the researchers Geoff Stuart Nitschke 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Improving Deep Learning using Generic Data Augmentation (2017) — 396 citations