Maarten Grootendorst

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Maarten Grootendorst trusts overall

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

  1. Leland McInnes
  2. John Healy
  3. Thorsten Joachims
  4. Gerlof J. Bouma
  5. Nils Reimers
  6. Quoc V. Le
  7. David M. Blei
  8. Tomas Mikolov
  9. Cédric Févotte
  10. Derek Greene

Who trusts Maarten Grootendorst overall

  1. Wei-Lin Chiang
  2. Perttu Hämäläinen
  3. Lianmin Zheng
  4. Alessandro Galeazzi
  5. Mikke Tavast
  6. Ying Sheng

Papers from Maarten Grootendorst's perspective

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

Their papers