Samuel Tenka

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #5,125 of 21,575 by trust here, #5,013 by citations

Whom Samuel Tenka trusts overall

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

1. Geoffrey E. Hinton
2. Scott E. Reed
3. Ruslan Salakhutdinov
4. Diederik P. Kingma
5. Yoshua Bengio

Who trusts Samuel Tenka overall

1. Dong Huk Park
2. Tao Xu

Papers from Samuel Tenka's perspective

Ordered by how strongly the researchers Samuel Tenka 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. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning What and Where to Draw (2016) — 641 citations