Jie Chen

Artificial Intelligence · with Lau · 2016

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 Jie Chen trusts overall

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

  1. Sylvain Calinon
  2. Todd K. Moon
  3. Jens Kober
  4. Aude Gemma Billard
  5. M. Emre Celebi
  6. Katharina Muelling
  7. Jan Peters
  8. Carl E. Rasmussen
  9. L. Eon Bottou
  10. J. Bagnell

Papers from Jie Chen's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Reinforcement learning in robotics: A survey
  4. Robot Programming by Demonstration
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. GENERATIVE ADVERSARIAL NETS
  10. Large-Scale Machine Learning with Stochastic Gradient Descent

Their papers