Tu Vu

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 348 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tu Vu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Richard Socher
  8. Kaiming He
  9. Jacob Devlin
  10. Alex Graves

Who trusts Tu Vu overall

  1. Dheeraj Mekala
  2. Brian Lester
  3. Aditya Barua
  4. Mandar Joshi
  5. Qinyuan Ye
  6. Vishakh Padmakumar
  7. Lingling Xu
  8. Zeyu Han
  9. Gabriel Ilharco
  10. Haokun Liu

Papers from Tu Vu's perspective

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

Their papers