Jakub Nalepa

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jakub Nalepa trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. James Bergstra
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Ilya Loshchilov
  7. Hugo Larochelle
  8. Jasper Snoek
  9. Jimmy Ba
  10. Frank Hutter

Who trusts Jakub Nalepa overall

  1. Tong Yu
  2. Li Yang

Papers from Jakub Nalepa's perspective

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

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

Their papers