Kai Ming Ting

Artificial Intelligence · 1997–2024

A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 81 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Ming Ting trusts overall

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

  1. Robert A. Jacobs
  2. David Hilton Wolpert
  3. Leo Breiman
  4. Michael I. Jordan
  5. Rfdo 2XWOLHUV
  6. Robert E. Schapire
  7. Stephen D. Bay
  8. T. Shi
  9. Naoki Abe
  10. Kenji Yamanishi

Who trusts Kai Ming Ting overall

  1. AnHai Doan
  2. Nitesh V. Chawla
  3. Yanmin Sun
  4. Jayant Madhavan
  5. Zhi-Hua Zhou
  6. Haibo He
  7. Sokol Koço
  8. Hamed Masnadi-Shirazi
  9. Brian Kriegler
  10. Taghi M. Khoshgoftaar

Papers from Kai Ming Ting's perspective

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

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