Wei Li

Artificial Intelligence · with Lin · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Li trusts overall

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

  1. Jiwei Li
  2. Ronald J. Williams
  3. Dzmitry Bahdanau
  4. Ilya Sutskever

Papers from Wei Li's perspective

Ordered by how strongly the researchers Wei Li 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. GENERATIVE ADVERSARIAL NETS
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  8. Long Short-Term Memory
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Gradient-based learning applied to document recognition

Their papers