Mengdie Zhou

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 7 citations into it

Whom Mengdie Zhou trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jimmy Ba

Papers from Mengdie Zhou's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Dropout: a simple way to prevent neural networks from overfitting
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Layer Normalization

Their papers

• Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling (2019) — 441 citations