Christopher Snyder

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #14,403 of 21,575 by trust here, #11,721 by citations
• Generative Models — 17 citations into it; #1,371 of 1,956 by trust here, #1,287 by citations
• Artificial Intelligence — 13 citations into it; #23,308 of 35,345 by trust here, #17,412 by citations

Whom Christopher Snyder trusts overall

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

1. Geoffrey E. Hinton
2. Ian J. Goodfellow
3. Alec Radford
4. Mehdi Mirza
5. Yoshua Bengio
6. Jeff Donahue
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Shakir Mohamed
10. Yann LeCun

Who trusts Christopher Snyder overall

1. Christina Heinze-Deml
2. Álvaro Parafita
3. Yash Goyal
4. Nicolai Meinshausen

Papers from Christopher Snyder's perspective

Ordered by how strongly the researchers Christopher Snyder 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training (2017) — 314 citations