Kaige Xie
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #19,014 of 35,345 by trust here, #22,463 by citations
- Natural Language Processing — 22 citations into it; #3,267 of 5,688 by trust here, #4,250 by citations
- Reinforcement Learning — 13 citations into it; #1,377 of 2,242 by trust here, #1,778 by citations
Whom Kaige Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Diederik P. Kingma
- Susannah Young
- Jason Williams
- Iulian Serban
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Oriol Vinyals
Who trusts Kaige Xie overall
Papers from Kaige Xie's perspective
Ordered by how strongly the researchers Kaige Xie 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning