Konstantin Berlin

Artificial Intelligence · with Saxe · 2015

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Konstantin Berlin trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Yoshua Bengio
  5. Xavier Glorot
  6. Alex Krizhevsky
  7. Nitish Srivastava
  8. William B. Johnson
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Konstantin Berlin overall

  1. H. S. Anderson
  2. Kathrin Grosse
  3. Ömer Aslan
  4. Richard E. Harang
  5. Amin Azmoodeh
  6. Daniele Ucci
  7. Xiaoyong Yuan
  8. Daniel S. Berman
  9. Bojan Kolosnjaji
  10. Yanfang Ye

Papers from Konstantin Berlin's perspective

Ordered by how strongly the researchers Konstantin Berlin 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. 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. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers