Lukás Zilka

Artificial Intelligence · 2014–2025

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Lukás Zilka trusts overall

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

  1. Matthew Henderson
  2. Blaise Thomson
  3. Diederik P. Kingma
  4. Sepp Hochreiter
  5. Jimmy Ba
  6. Susannah Young
  7. J. Urgen Schmidhuber
  8. Geoffrey E. Hinton
  9. Jason Williams
  10. R. Caruana

Who trusts Lukás Zilka overall

  1. Matthew Henderson
  2. Puyang Xu
  3. Nikola Mrksic
  4. Qi Hu
  5. Diarmuid Ó Séaghdha
  6. Chien-Sheng Wu
  7. Ondrej Dusek
  8. Tsung-Hsien Wen

Papers from Lukás Zilka's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers