Artur Dubrawski

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Artur Dubrawski trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alexander J. Ratner
  4. Yoshua Bengio
  5. Kaiming He
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Yann LeCun
  9. Ilya Sutskever
  10. Paroma Varma

Papers from Artur Dubrawski's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers