Keyi Yu
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 93 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it; #15,453 of 35,345 by trust here, #24,417 by citations
- Natural Language Processing — 49 citations into it; #2,803 of 5,688 by trust here, #4,539 by citations
- Computer Vision and Pattern Recognition — 20 citations into it; #9,905 of 21,575 by trust here, #15,955 by citations
- Representation & Self-Supervised Learning — 13 citations into it
- Evaluation & Benchmarks — 6 citations into it; #1,419 of 3,147 by trust here, #2,671 by citations
- Optimization & Training — 5 citations into it
Whom Keyi Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ronald J. Williams
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Jimmy Ba
- Alex Graves
- Alex Krizhevsky
- Yann LeCun
- Richard Socher
Who trusts Keyi Yu overall
- Timo Schick
- Tsu-Jui Fu
- Wenpeng Yin
- Jin Tao
- Hinrich Schütze
- Wei-Yun Ma
- Panupong Pasupat
- Yanda Chen
- Michael A. Hedderich
- Urmish Thakker
Papers from Keyi Yu's perspective
Ordered by how strongly the researchers Keyi Yu 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks (2019) — 130 citations
- Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping (2018) — 26 citations