Da Ju

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 11 papers; trusts 532 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Da Ju trusts overall

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

  1. Jason Aaron Edward Weston
  2. Emily Dinan
  3. Kurt Shuster
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Samuel Humeau
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Da Ju overall

  1. Kurt Shuster
  2. Eric Michael Smith
  3. Emily Dinan
  4. Jing Xu
  5. Jason Aaron Edward Weston
  6. Stephen Roller
  7. Mojtaba Komeili
  8. Y-Lan Boureau
  9. Weiyan Shi
  10. Kushal Arora

Papers from Da Ju's perspective

Ordered by how strongly the researchers Da Ju 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. 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. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers