James Max Kanter

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom James Max Kanter trusts overall

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

  1. David M. Blei
  2. Chong Wang
  3. Andrew Gordon Wilson
  4. Zoubin Ghahramani
  5. Michael I. Jordan
  6. James Robert Lloyd
  7. Andrew Y. Ng
  8. David G. Lowe
  9. Geoffrey E. Hinton
  10. Radford M. Neal

Who trusts James Max Kanter overall

  1. Marc-André Zöller
  2. Marco F. Huber
  3. Quanming Yao
  4. Udayan Khurana
  5. Micah J. Smith
  6. Yi-Wei Chen
  7. Yaqing Wang
  8. Horst Samulowitz
  9. Dakuo Wang
  10. Qingquan Song

Papers from James Max Kanter's perspective

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

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