Kenneth Leidal

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 5 citations into it; #20,800 of 35,345 by trust here, #29,412 by citations

Whom Kenneth Leidal trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten
3. Yaroslav Ganin
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ian J. Goodfellow
7. Antonio Torralba
8. David F. Harwath
9. Alex Krizhevsky
10. Wei-Ning Hsu

Who trusts Kenneth Leidal overall

1. David F. Harwath
2. Ryan Eloff
3. Herman Kamper
4. Wei-Ning Hsu
5. Herman Arnold Engelbrecht
6. Andrew Rouditchenko
7. James R. Glass

Papers from Kenneth Leidal's perspective

Ordered by how strongly the researchers Kenneth Leidal 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning modality-invariant representations for speech and images (2017) — 30 citations