Tianlu Mao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianlu Mao trusts

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

  1. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  2. Yoshua Bengio (in Artificial Intelligence)

Papers from Tianlu Mao's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. The Graph Neural Network Model
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Gated Graph Sequence Neural Networks

Their papers