Jiahao Chen

Artificial Intelligence · with Kallus · 2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiahao Chen trusts overall

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

  1. Yan Zhang
  2. Ryan D. Turner
  3. Jenna Burrell
  4. Solon Barocas
  5. Sébastien Bubeck
  6. Joannès Vermorel
  7. Leslie Pack Kaelbling
  8. Matthias Feurer
  9. Anupam Datta
  10. Patrick J. Bayer

Papers from Jiahao Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Human-level control through deep reinforcement learning
  3. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers