Tristan Thrush

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 10 papers; trusts 377 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Tristan Thrush trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Kaiming He
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Alex Graves
  10. Karen Simonyan

Who trusts Tristan Thrush overall

  1. Max Bartolo
  2. Gary F. Marcus
  3. Douwe Kiela
  4. Alisa Liu
  5. Alexander C. Li
  6. Swabha Swayamdipta
  7. Ramakanth Pasunuru
  8. Divyansh Kaushik
  9. Zhiqiu Lin
  10. Boyuan Chen

Papers from Tristan Thrush's perspective

Ordered by how strongly the researchers Tristan Thrush 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. ImageNet classification with deep convolutional neural networks
  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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers