Daniel Fried

Artificial Intelligence · 2012–2023

A researcher in the Science corpus: 19 papers; trusts 916 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Fried trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Eugene Charniak
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Jimmy Ba
  10. Alex Graves

Who trusts Daniel Fried overall

  1. Chun Xia
  2. Khanh Nguyen
  3. Peter Alexander Jansen
  4. Mohit Bansal
  5. Geoffrey Cideron
  6. Peter Anderson
  7. Ben Bogin
  8. Hao Hao Tan
  9. Chunyuan Li
  10. Victor Zhong

Papers from Daniel Fried's perspective

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