Justin T Chiu

Artificial Intelligence · with Deng · 2018

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Natural Language Processing — 30 citations into it
• Model Architectures — 13 citations into it
• Generative Models — 9 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Justin T Chiu trusts overall

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

1. Andriy Mnih
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ronald J. Williams
5. Diederik P. Kingma
6. Kaiming He
7. Jimmy Ba
8. Alex Krizhevsky
9. Danilo Jimenez Rezende
10. Ilya Sutskever

Papers from Justin T Chiu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Latent Alignment and Variational Attention (2018) — 118 citations