Yitao Liang

Artificial Intelligence · with Bowling · 2015–2023

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yitao Liang trusts overall

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

  1. Marc G. Bellemare
  2. Richard S. Sutton
  3. Leemon C. Baird III
  4. Geoffrey J. Gordon
  5. Alex Krizhevsky
  6. Joel Veness
  7. Volodymyr Mnih
  8. Geoffrey E. Hinton
  9. Andrew Barto
  10. Christopher J. C. H. Watkins

Who trusts Yitao Liang overall

  1. Yuxi Li
  2. Oron Anschel
  3. Jarryd Martin
  4. Hado van Hasselt
  5. Marlos C. Machado
  6. Marc G. Bellemare
  7. Yuke Zhu
  8. Ian Osband
  9. Hector Geffner
  10. Nir Baram

Papers from Yitao Liang's perspective

Ordered by how strongly the researchers Yitao Liang 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers