Maxim Rabinovich

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Maxim Rabinovich trusts overall

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

  1. Yoshua Bengio
  2. Luke S. Zettlemoyer
  3. Xavier Glorot
  4. Oriol Vinyals
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Michael Collins
  8. Ilya Sutskever
  9. Li Dong
  10. Alex Krizhevsky

Who trusts Maxim Rabinovich overall

  1. Uri Alon
  2. Pengcheng Yin
  3. Yoon Kim
  4. Xinyun Chen
  5. Li Dong
  6. Jonathan Berant
  7. Aishwarya Kamath
  8. Ohad Rubin
  9. Graham Neubig
  10. Tao Yu

Papers from Maxim Rabinovich's perspective

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

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

Their papers