Matthew S. Gerber

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew S. Gerber trusts overall

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

  1. David M. Blei
  2. George O. Mohler
  3. Andrew Y. Ng
  4. Olutobi Owoputi
  5. Michael I. Jordan
  6. Sitaram Asur
  7. Aron Culotta
  8. Geoffrey E. Hinton
  9. Martin B. Short
  10. Xavier Carreras

Who trusts Matthew S. Gerber overall

  1. Hamed Jelodar
  2. Sungyong Seo
  3. Yongli Wang
  4. Martin Hilbert
  5. Ashima Yadav
  6. Hau Chan
  7. Chi Yuan
  8. Anthony Heyes
  9. Liang Zhao
  10. Gema Bello Orgaz

Papers from Matthew S. Gerber's perspective

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

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

Their papers