Max Grusky

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Max Grusky trusts overall

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

  1. Chin-Yew Lin
  2. Oriol Vinyals
  3. Katja Filippova
  4. Sumit Chopra
  5. Yoshua Bengio
  6. Christopher D. Manning
  7. Ilya Sutskever
  8. Geoffrey E. Hinton
  9. Alexander M. Rush
  10. Ramesh Nallapati

Who trusts Max Grusky overall

  1. Alexios Gidiotis
  2. Esin Durmus
  3. Wojciech Kryscinski
  4. Pengfei Liu
  5. Kaiqiang Song
  6. Bryan McCann
  7. Faisal Ladhak
  8. Laura Perez-Beltrachini
  9. Alexander R. Fabbri
  10. Rishi Bommasani

Papers from Max Grusky's perspective

Ordered by how strongly the researchers Max Grusky 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  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