George Hotz

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it; #8,721 of 21,575 by trust here, #12,689 by citations
• Generative Models — 9 citations into it
• Reinforcement Learning — 7 citations into it

Whom George Hotz trusts overall

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

1. Diederik P. Kingma
2. J. Urgen Schmidhuber
3. Alec Radford
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yoshua Bengio
7. Alex Krizhevsky
8. Yann LeCun
9. Jan Koutník
10. David Silver

Who trusts George Hotz overall

1. Xiaodan Liang
2. Luona Yang
3. Jonathan Binas
4. Yiping Chen

Papers from George Hotz's perspective

Ordered by how strongly the researchers George Hotz 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning a Driving Simulator (2016) — 232 citations