Ye Bai
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #32,513 of 35,345 by trust here, #27,551 by citations
- Natural Language Processing — 12 citations into it; #5,244 of 5,688 by trust here, #4,879 by citations
- Signal Processing — 8 citations into it
Whom Ye Bai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jan Chorowski
- Anthony Rousseau
- Linhao Dong
- Yoon Kim
- Yoshua Bengio
- Robert C. Moore
- Oriol Vinyals
- Alex Graves
- Navdeep Jaitly
Who trusts Ye Bai overall
Papers from Ye Bai's perspective
Ordered by how strongly the researchers Ye Bai 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
- 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)
- Distilling the Knowledge in a Neural Network (arXiv.org)