Siqi Liu

Reinforcement Learning · with Heess · 2016–2021

A researcher in the Science corpus: 8 papers; trusts 104 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Siqi Liu trusts overall

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

  1. Diederik P. Kingma
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Nicolas Manfred Otto Heess
  5. Yoshua Bengio
  6. Sepp Hochreiter
  7. Alex Krizhevsky
  8. Oriol Vinyals
  9. Ilya Sutskever
  10. Jimmy Ba

Who trusts Siqi Liu overall

  1. Marcella Cornia
  2. Lorenzo Baraldi
  3. Asli Celikyilmaz
  4. Matteo Stefanini
  5. Ramakanth Pasunuru
  6. Huan Ling
  7. Jiuxiang Gu
  8. Rita Cucchiara
  9. Ananya B. Sai
  10. Pablo Hernandez-Leal

Papers from Siqi Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers