Kai Zhu

Artificial Intelligence · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Zhu trusts overall

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

  1. Ben J. A. Kröse
  2. Yu Fan Chen
  3. Volodymyr Mnih
  4. Michael Everett
  5. Piotr Wojciech Mirowski
  6. Mohamed Elbanhawi
  7. John Schulman
  8. Geoffrey E. Hinton
  9. Hado van Hasselt
  10. Aleksandra Faust

Who trusts Kai Zhu overall

  1. Julio A. Placed
  2. Jared Strader

Papers from Kai Zhu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Asynchronous Methods for Deep Reinforcement Learning
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers