Kai Ni

Artificial Intelligence · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Ni trusts overall

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

  1. Lawrence R. Rabiner
  2. Carl E. Rasmussen
  3. Hemant Ishwaran
  4. Matthew J. Beal
  5. Beth T. Logan
  6. Jean-Julien Aucouturier
  7. Michael I. Jordan
  8. Yee Whye Teh
  9. David M. Blei
  10. Tony Jebara

Who trusts Kai Ni overall

  1. Yu Zhang
  2. Qiang Yang
  3. Abel Rodríguez
  4. Björn Schuller
  5. David B. Dunson
  6. Stefan Steidl

Papers from Kai Ni's perspective

Ordered by how strongly the researchers Kai Ni 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. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers