Yuchen Liu

Artificial Intelligence · with Hu · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuchen Liu trusts overall

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

  1. Soujanya Poria
  2. Diederik P. Kingma
  3. Devamanyu Hazarika
  4. Geoffrey E. Hinton
  5. Navonil Majumder
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Amir Zadeh
  9. Alex Krizhevsky
  10. Erik Cambria

Papers from Yuchen Liu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers