Benjamin Newman

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Newman trusts overall

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

  1. Brenden M. Lake
  2. Diederik P. Kingma
  3. Jacob Devlin
  4. Geoffrey E. Hinton
  5. Tal Linzen
  6. Matt Post
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Alex Graves

Who trusts Benjamin Newman overall

  1. Sebastian Schuster
  2. Ofir Press
  3. Tal Linzen
  4. Jason Wei
  5. Rodrigo Nogueira
  6. Noah A. Smith
  7. Dan Garrette

Papers from Benjamin Newman's perspective

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

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

Their papers