Daniel De Freitas

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel De Freitas trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Oriol Vinyals
  5. Quoc V. Le
  6. Diederik P. Kingma
  7. Noam Shazeer
  8. Alex Krizhevsky
  9. Dzmitry Bahdanau
  10. Ashish Vaswani

Who trusts Daniel De Freitas overall

  1. Kurt Shuster
  2. Jing Xu
  3. Shikib Mehri
  4. Jason Aaron Edward Weston
  5. Eric Michael Smith
  6. Gary F. Marcus
  7. Mojtaba Komeili
  8. Stephen Roller
  9. Minlie Huang
  10. Emily Dinan

Papers from Daniel De Freitas's perspective

Ordered by how strongly the researchers Daniel De Freitas 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers