Benjamin Heinzerling

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 76 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Heinzerling trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. J. Urgen Schmidhuber
  7. Jacob Devlin
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Alex Graves

Who trusts Benjamin Heinzerling overall

  1. Tara Safavi
  2. Emily L. Denton
  3. Eric P. Lehman
  4. Emily M. Bender
  5. A. Hanna
  6. Danai Koutra
  7. Inioluwa Deborah Raji
  8. Sarthak Jain
  9. Bernard J. Koch
  10. Rohit Sridhar

Papers from Benjamin Heinzerling's perspective

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

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