Jonathan Raiman

Artificial Intelligence · 2015–2024

A researcher in the Science corpus: 10 papers; trusts 260 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Raiman trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ilya Sutskever
  8. Jimmy Ba
  9. J. Urgen Schmidhuber
  10. Michael Collins

Who trusts Jonathan Raiman overall

  1. Benjamin Heinzerling
  2. Adams Wei Yu
  3. Jeffrey Ling
  4. Xu Tan
  5. Kentaro Inui
  6. Wei Ping
  7. Ledell Yu Wu
  8. Yi Ren
  9. Edresson Casanova
  10. Eliya Nachmani

Papers from Jonathan Raiman's perspective

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

Their papers