Andy T. Liu

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 146 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Andy T. Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yu-An Chung
  4. Jimmy Ba
  5. Yoshua Bengio
  6. Alexei Baevski
  7. Alex Graves
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Tomas Mikolov

Who trusts Andy T. Liu overall

  1. Yu-An Chung
  2. Puyuan Peng
  3. Hung-yi Lee
  4. David F. Harwath
  5. Abdel-rahman Mohamed
  6. Dongwei Jiang
  7. James R. Glass
  8. Sanyuan Chen
  9. Lasse Borgholt
  10. Chenguang Zhu

Papers from Andy T. Liu's perspective

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

Their papers