Matt Le

Artificial Intelligence · with Hsu · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matt Le trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Alex Graves
  7. Yann LeCun
  8. Kaiming He
  9. Jimmy Ba
  10. Jason Aaron Edward Weston

Who trusts Matt Le overall

  1. Maarten Sap
  2. Christelle Langley
  3. Sanyuan Chen
  4. Alexander H. Liu
  5. Yushen Chen
  6. Apoorv Vyas
  7. Dongchao Yang
  8. Ya-Zhen Song
  9. Ronan Le Bras
  10. Detai Xin

Papers from Matt Le's perspective

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

Their papers