Haim Dubossarsky

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Haim Dubossarsky trusts overall

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

  1. Tomas Mikolov
  2. William L. Hamilton
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Mark Davies
  6. Yoshua Bengio
  7. Richard Socher
  8. Felix Hill
  9. Diederik P. Kingma
  10. Sepp Hochreiter

Who trusts Haim Dubossarsky overall

  1. José Camacho-Collados
  2. Mohammad Taher Pilehvar
  3. Joe Stacey

Papers from Haim Dubossarsky's perspective

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

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

Their papers