Chloe Ching-Yun Hsu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chloe Ching-Yun Hsu trusts overall

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

  1. John Schulman
  2. Matthieu Geist
  3. Peter Henderson
  4. Bruno Scherrer
  5. OpenAI
  6. Sham M. Kakade
  7. Filip Wolski
  8. Geoffrey E. Hinton
  9. Richard S. Sutton
  10. Riashat Islam

Papers from Chloe Ching-Yun Hsu's perspective

Ordered by how strongly the researchers Chloe Ching-Yun Hsu 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. Proximal Policy Optimization Algorithms (arXiv.org)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Asynchronous Methods for Deep Reinforcement Learning
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Human-level control through deep reinforcement learning

Their papers