Michal Kawulok

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Kawulok 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

Who trusts Michal Kawulok overall

  1. Steven C. Y. Hung
  2. Cheng-Hao Tu

Papers from Michal Kawulok's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. Practical Bayesian Optimization of Machine Learning Algorithms
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers