Sasha Blair-Goldensohn

Artificial Intelligence · 2004–2008

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sasha Blair-Goldensohn trusts overall

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

  1. Minqing Hu
  2. Peter D. Turney
  3. Robert Malouf
  4. Chin-Yew Lin
  5. Ani Nenkova
  6. Benjamin Snyder
  7. Bo Pang
  8. Ryan T. McDonald
  9. Adam L. Berger
  10. Yejin Choi

Who trusts Sasha Blair-Goldensohn overall

  1. Mohamed M. Mostafa
  2. Lei Zhang
  3. Soujanya Poria
  4. Xin Li
  5. B. Liu
  6. Erik Cambria

Papers from Sasha Blair-Goldensohn's perspective

Ordered by how strongly the researchers Sasha Blair-Goldensohn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers