Ari Rappoport

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 8 papers; trusts 54 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom Ari Rappoport trusts overall

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

  1. Michael Collins
  2. Eugene Charniak
  3. David McClosky
  4. Alex Smola
  5. Jaewon Yang
  6. David A. Cohn
  7. Steven Bird
  8. Mark Johnson
  9. Jure Leskovec
  10. Collin F. Baker

Who trusts Ari Rappoport overall

  1. Rediet Abebe
  2. Xiao Huang
  3. Yanai Elazar
  4. Alan Ramponi
  5. Aishwarya Kamath
  6. Daniel Preotiuc-Pietro
  7. Timo Schick
  8. Roy Schwartz
  9. Julian Michael
  10. Roi Reichart

Papers from Ari Rappoport's perspective

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

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

Their papers