Suyang Dai
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #32,745 of 35,345 by trust here, #31,361 by citations
- Natural Language Processing — 7 citations into it
Whom Suyang Dai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Arkaitz Zubiaga
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Jimmy Ba
- Nitish Srivastava
Who trusts Suyang Dai overall
Papers from Suyang Dai's perspective
Ordered by how strongly the researchers Suyang Dai trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
- AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification (2018) — 303 citations