Kevin Lee

Computer Vision and Pattern Recognition · with Misra · 2014

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 19 citations into it; #32,077 of 35,345 by trust here, #15,866 by citations
• Natural Language Processing — 17 citations into it; #5,164 of 5,688 by trust here, #3,282 by citations
• Control and Systems Engineering — 13 citations into it; #7,438 of 8,257 by trust here, #2,147 by citations
• Reinforcement Learning — 9 citations into it; #2,086 of 2,242 by trust here, #1,395 by citations

Whom Kevin Lee trusts overall

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

1. Mark Steedman
2. Luke S. Zettlemoyer
3. Hema Swetha Koppula
4. Jussi Rintanen
5. Cynthia Matuszek
6. Stefanie Tellex
7. Daniel Klein
8. Michael Collins
9. Geoffrey E. Hinton
10. Yoav Artzi

Who trusts Kevin Lee overall

1. Mohit Shridhar

Papers from Kevin Lee's perspective

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

Their papers

• Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions (2014) — 309 citations