Mateusz Lajszczak

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mateusz Lajszczak trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Kaiming He
  4. Diederik P. Kingma
  5. Aäron van den Oord
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. Alex Graves
  9. Alex Krizhevsky
  10. Oriol Vinyals

Who trusts Mateusz Lajszczak overall

  1. Sanyuan Chen
  2. Arnaud Joly

Papers from Mateusz Lajszczak's perspective

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

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