Kejia Tao

Natural Language Processing · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 24 citations into it; #5,139 of 5,688 by trust here, #4,361 by citations
• Artificial Intelligence — 19 citations into it; #27,559 of 35,345 by trust here, #23,077 by citations

Whom Kejia Tao trusts overall

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

1. Luke S. Zettlemoyer
2. Daniel Klein
3. Franz Joseph Och
4. Michael Collins
5. Tom Kwiatkowski
6. Jonathan Berant
7. Christopher D. Manning
8. S. Branavan
9. Geoffrey E. Hinton
10. Percy Liang

Who trusts Kejia Tao overall

1. Joyce Yue Chai
2. Dipendra Kumar Misra
3. Panupong Pasupat

Papers from Kejia Tao's perspective

Ordered by how strongly the researchers Kejia Tao 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Environment-Driven Lexicon Induction for High-Level Instructions (2015) — 57 citations