Minh N. Vu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #15,913 of 35,345 by trust here, #29,412 by citations
• Graph Learning — 11 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Minh N. Vu trusts overall

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

1. Karen Simonyan
2. Thomas Kipf
3. Daphne Koller
4. Scott M. Lundberg
5. Rex Ying
6. Max Welling
7. Geoffrey E. Hinton
8. Mukund Sundararajan
9. Diederik P. Kingma
10. Alex Krizhevsky

Who trusts Minh N. Vu overall

1. Hao Yuan
2. Siqi Miao
3. Haiyang Yu
4. Miaoyuan Liu
5. Andreas Holzinger
6. Shuiwang Ji
7. Pan Li
8. Shurui Gui

Papers from Minh N. Vu's perspective

Ordered by how strongly the researchers Minh N. Vu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks (2020) — 427 citations