Yanhua Shao
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Natural Language Processing — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Yanhua Shao trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Jeff M. Phillips (in Artificial Intelligence)
- Sunipa Dev (in Artificial Intelligence)
- Richard Socher (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
Papers from Yanhua Shao's perspective
Ordered by how strongly the researchers Yanhua Shao trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- GloVe: Global Vectors for Word Representation
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Bag of Tricks for Efficient Text Classification
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
Their papers
- deb2viz: Debiasing gender in word embedding data using subspace visualization (2020) — 8 citations