Aleksandra Gabryszak

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksandra Gabryszak trusts overall

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

  1. Alec Radford
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alexis Conneau
  6. Christopher D. Manning
  7. Ilya Sutskever
  8. Richard Socher
  9. Matthew E. Peters
  10. Alex Krizhevsky

Who trusts Aleksandra Gabryszak overall

  1. Abhilasha Ravichander
  2. Yanai Elazar
  3. Michael R. Glass

Papers from Aleksandra Gabryszak's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  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. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers