Lei-tai Chen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Lei-tai Chen trusts overall

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

1. Diederik P. Kingma
2. Duyu Tang
3. Kaiming He
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Jimmy Ba
7. Jeffrey Pennington
8. Richard Socher
9. Kyunghyun Cho
10. Jacob Devlin

Papers from Lei-tai Chen's perspective

Ordered by how strongly the researchers Lei-tai Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis (2019) — 333 citations