Nathalie A. Smuha

AI Ethics, Fairness & Society · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nathalie A. Smuha trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Emma Strubell
  2. Jenna Burrell
  3. Helen Nissenbaum
  4. Reuben Binns
  5. Virginia Dignum
  6. Julie E. Cohen

Who trusts Nathalie A. Smuha overall

  1. Emilio Ferrara
  2. R. Shelby
  3. Davinder Kaur
  4. Ahmad Chaddad
  5. Brent Daniel Mittelstadt
  6. Dan Hendrycks

Papers from Nathalie A. Smuha's perspective

Ordered by how strongly the researchers Nathalie A. Smuha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Energy and Policy Considerations for Deep Learning in NLP
  2. Big Data's Disparate Impact
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. GloVe: Global Vectors for Word Representation
  6. Learning Multiple Layers of Features from Tiny Images
  7. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Efficient Estimation of Word Representations in Vector Space
  10. ImageNet: A large-scale hierarchical image database

Their papers