Yg

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it; #792 of 1,525 by trust here, #1,113 by citations
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Yg trusts overall

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

1. Yarin Gal
2. Geoffrey E. Hinton
3. Carl E. Rasmussen
4. Alex Krizhevsky
5. Neil D. Lawrence
6. Nitish Srivastava
7. Michalis K. Titsias
8. Ilya Sutskever
9. Yoshua Bengio
10. Radford M. Neal

Who trusts Yg overall

1. Patrick McClure
2. Nikolaus Kriegeskorte
3. Samuel Rota Bulò
4. Hao Wang
5. Lorenzo Porzi
6. Dit-Yan Yeung
7. Yarin Gal
8. Peter Kontschieder
9. Kumar Shridhar
10. Vijay Badrinarayanan

Papers from Yg's perspective

Ordered by how strongly the researchers Yg 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. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Dropout as a Bayesian Approximation : Insights and Applications (2015)