Kira Radinsky

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kira Radinsky trusts overall

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

  1. Ellen Riloff
  2. George A. Miller
  3. Evgeniy Gabrilovich
  4. Dekang Lin
  5. Michail Vlachos
  6. Dekang Lin
  7. Michael Strube
  8. Yehuda Koren
  9. Eugene Agichtein
  10. Fabian M. Suchanek

Who trusts Kira Radinsky overall

  1. Manaal Faruqui
  2. Wen-tau Yih
  3. José Camacho-Collados
  4. Chris Dyer
  5. Alexandre Salle
  6. Chris Welty
  7. Jiaqi Mu
  8. Mohammad Taher Pilehvar
  9. Guy Halawi
  10. Xiao Ding

Papers from Kira Radinsky's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers