Michael Bendersky

Artificial Intelligence · 2008–2023

A researcher in the Science corpus: 18 papers; trusts 406 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Bendersky trusts overall

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

  1. Thorsten Joachims
  2. W. Bruce Croft
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Kaiming He
  10. Peter D. Turney

Who trusts Michael Bendersky overall

  1. Le Zhao
  2. Xitong Liu
  3. Hamed Zamani
  4. Xuanhui Wang
  5. Thorsten Joachims
  6. Hui Fang
  7. Rama Kumar Pasumarthi
  8. Dmitry Kislyuk
  9. Aman Agarwal
  10. Jimmy J. Lin

Papers from Michael Bendersky's perspective

Ordered by how strongly the researchers Michael Bendersky 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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