Konrad Czechowski

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Konrad Czechowski trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Stanislas Polu
  5. J. Urgen Schmidhuber
  6. Richard S. Sutton
  7. Yoshua Bengio

Papers from Konrad Czechowski's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Human-level control through deep reinforcement learning
  8. Asynchronous Methods for Deep Reinforcement Learning
  9. Gradient-based learning applied to document recognition
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers