Keyon Vafa

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Natural Language Processing — 12 citations into it
• Generative Models — 11 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Model Architectures — 7 citations into it

Whom Keyon Vafa trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Laurent Dinh
6. Oriol Vinyals
7. Danilo Jimenez Rezende
8. Alex Krizhevsky
9. Yann LeCun
10. Alex Graves

Who trusts Keyon Vafa overall

1. Emiel Hoogeboom
2. Rianne van den Berg
3. Aaron Lou
4. Sam Bond-Taylor
5. Ruiqi Gao

Papers from Keyon Vafa's perspective

Ordered by how strongly the researchers Keyon Vafa 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Discrete Flows: Invertible Generative Models of Discrete Data (2019) — 133 citations