Jamell Dacon

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jamell Dacon trusts overall

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

  1. Diederik P. Kingma
  2. Steven Bird
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Shikha Bordia
  8. Oriol Vinyals
  9. Jeffrey Pennington
  10. Richard Socher

Who trusts Jamell Dacon overall

  1. Emily Dinan
  2. Eric Michael Smith
  3. Emily Sheng
  4. Haochen Liu
  5. Adina Williams
  6. Su Lin Blodgett

Papers from Jamell Dacon's perspective

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

Their papers