Will Ma

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 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 — 18 citations into it
• Safety, Robustness & Interpretability — 16 citations into it

Whom Will Ma trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. J. Kolter
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Eric Wong
7. Simon S. Haykin
8. Jimmy Ba
9. Alex Krizhevsky

Papers from Will Ma's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Intriguing properties of neural networks
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
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

• Strong mixed-integer programming formulations for trained neural networks (2018) — 321 citations