Mason Liu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Optimization & Training — 19 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Mason Liu trusts overall

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

1. Geoffrey E. Hinton
2. Christian Szegedy
3. Alex Krizhevsky
4. Sergey Ioffe
5. Kaiming He
6. Jia Deng
7. Yoshua Bengio
8. Ilya Sutskever
9. Diederik P. Kingma
10. Oriol Vinyals

Papers from Mason Liu's perspective

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

Their papers

• Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels (2019) — 252 citations