Sam Shah
2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sam Shah trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- James Y. Zou (in Safety, Robustness & Interpretability)
Papers from Sam Shah's perspective
Ordered by how strongly the researchers Sam Shah trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficient Estimation of Word Representations in Vector Space
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
- Semantics derived automatically from language corpora contain human-like biases
- Word embeddings quantify 100 years of gender and ethnic stereotypes
- Understanding the Origins of Bias in Word Embeddings
- Evaluating the Stability of Embedding-based Word Similarities
- GloVe: Global Vectors for Word Representation
- Attention is All you Need (Neural Information Processing Systems)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Considerations for the Interpretation of Bias Measures of Word Embeddings (2019) — 3 citations