Mike Chrzanowski

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 8 papers; trusts 217 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Mike Chrzanowski trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Kaiming He
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. Sepp Hochreiter
  10. J. Urgen Schmidhuber

Who trusts Mike Chrzanowski overall

  1. Xu Tan
  2. Yi Ren
  3. Ye Jia
  4. Stanislav Beliaev
  5. Tao Qin
  6. Sercan Ö. Arik
  7. Klaus Greff
  8. Wei Ping
  9. Lei He
  10. Yu Zhang

Papers from Mike Chrzanowski's perspective

Ordered by how strongly the researchers Mike Chrzanowski 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers