Raphael Hoffmann

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Raphael Hoffmann trusts overall

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

  1. Michael Collins
  2. Fei Wu
  3. Andrew McCallum
  4. Sebastian Riedel
  5. Luke S. Zettlemoyer
  6. Mike D. Mintz
  7. Daniel S. Weld
  8. Percy Liang
  9. Jenny Rose Finkel
  10. Christopher D. Manning

Who trusts Raphael Hoffmann overall

  1. Yankai Lin
  2. Xiao Ling
  3. Dongxu Zhang
  4. Alexander J. Ratner
  5. Zhiyuan Liu
  6. Xu Han
  7. Peter Clark
  8. Daniel S. Weld
  9. Paroma Varma
  10. Jayant Krishnamurthy

Papers from Raphael Hoffmann's perspective

Ordered by how strongly the researchers Raphael Hoffmann 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers