Yevgeni Berzak

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yevgeni Berzak trusts overall

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

  1. Luke S. Zettlemoyer
  2. Mark Steedman
  3. Raymond J. Mooney
  4. David L. Chen
  5. Jonathan Berant

Papers from Yevgeni Berzak's perspective

Ordered by how strongly the researchers Yevgeni Berzak 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. VQA: Visual Question Answering
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers