Dang Lien Minh
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it
- Safety Research — 9 citations into it
- Model Architectures — 6 citations into it; #2,063 of 2,278 by trust here, #2,078 by citations
- Sociology and Political Science — 6 citations into it
- AI Ethics, Fairness & Society — 5 citations into it
- Health Information Management — 5 citations into it
Whom Dang Lien Minh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sepp Hochreiter
- Geoffrey E. Hinton
- Yoshua Bengio
- Alfredo Vellido
- William DuMouchel
- Alex Krizhevsky
- Kaiming He
- J. Urgen Schmidhuber
- Armin Jabbarzadeh
- Diederik P. Kingma
Who trusts Dang Lien Minh overall
Papers from Dang Lien Minh's perspective
Ordered by how strongly the researchers Dang Lien Minh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018) — 225 citations
- Explainable artificial intelligence: a comprehensive review (2021) — 873 citations