Michael Kaminsky

Computer Networks and Communications · 2006–2018

A researcher in the Science corpus: 14 papers; trusts 284 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Kaminsky trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Anuj Kalia
  5. Jon M. Kleinberg
  6. D. Andersen
  7. Ross B. Girshick
  8. Karen Simonyan
  9. Leslie Lamport
  10. Bin Fan

Who trusts Michael Kaminsky overall

  1. Binghui Wang
  2. Anuj Kalia
  3. Neil Zhenqiang Gong
  4. D. Andersen
  5. Jinyuan Jia
  6. Prateek Mittal
  7. David M. Beskow
  8. Peng Gao
  9. Dinh Nguyen Tran
  10. Le Zhang

Papers from Michael Kaminsky's perspective

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

Their papers