Linquan Liu

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Linquan Liu trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma

Papers from Linquan Liu's perspective

Ordered by how strongly the researchers Linquan Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. WaveNet: A Generative Model for Raw Audio
  8. Gradient-based learning applied to document recognition
  9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers