Tianlin Liu

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tianlin Liu trusts overall

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

  1. Herbert Jaeger
  2. Eneko Agirre
  3. Tomas Mikolov
  4. Ilya Sutskever
  5. Omer Levy
  6. Richard Socher
  7. Geoffrey E. Hinton
  8. Daniel Matthew Cer
  9. Yoshua Bengio
  10. Peter D. Turney

Who trusts Tianlin Liu overall

  1. João Sedoc
  2. Lyle Ungar
  3. Zixuan Ke
  4. Chen Zhu
  5. Andrea Madotto
  6. Fan-Keng Sun
  7. S. Karve
  8. Haowei Lin
  9. Ankit Singh Rawat

Papers from Tianlin Liu's perspective

Ordered by how strongly the researchers Tianlin 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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