Raymond Li

Artificial Intelligence · with Bahdanau · 2018–2023

A researcher in the Science corpus: 7 papers; trusts 95 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Raymond Li trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Alex Graves
  8. Oriol Vinyals
  9. Sepp Hochreiter
  10. Tomas Mikolov

Who trusts Raymond Li overall

  1. Ansong Ni
  2. Tianyang Liu
  3. Dietmar Jannach
  4. Kun Zhou
  5. Alexios Gidiotis
  6. M. Pourreza
  7. Chongming Gao
  8. Emily Dinan
  9. Yao Zhao
  10. Xinyun Chen

Papers from Raymond Li's perspective

Ordered by how strongly the researchers Raymond Li 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers