Charles Weill

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Optimization & Training — 9 citations into it
• Model Architectures — 7 citations into it

Whom Charles Weill trusts overall

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

1. Alex Krizhevsky
2. Barret Zoph
3. Geoffrey E. Hinton
4. Xavier Gastaldi
5. Quoc V. Le
6. Kaiming He
7. Yoshua Bengio
8. Terrance Devries
9. Oriol Vinyals
10. Ilya Sutskever

Who trusts Charles Weill overall

1. Jianping Gou

Papers from Charles Weill's perspective

Ordered by how strongly the researchers Charles Weill trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improving Neural Architecture Search Image Classifiers via Ensemble Learning (2019) — 18 citations