Michael R. Glass

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 6 papers; trusts 91 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Michael R. Glass trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Tomas Mikolov
  6. Alex Krizhevsky
  7. Jacob Devlin
  8. Yann LeCun
  9. Fabio Petroni
  10. Kaiming He

Who trusts Michael R. Glass overall

  1. J. Scott McCarley
  2. Sebastian Hofstätter
  3. Ming Tan
  4. Ori Ram
  5. Dayiheng Liu
  6. Xiang Deng
  7. Lin Pan
  8. C. D. Santos
  9. Jiecao Chen
  10. Tomasz Jurczyk

Papers from Michael R. Glass's perspective

Ordered by how strongly the researchers Michael R. Glass 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  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