Adam Liska

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Liska trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. Kenneth O. Stanley
  6. J. Urgen Schmidhuber
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Richard S. Sutton
  10. Alex Graves

Who trusts Adam Liska overall

  1. Dieuwke Hupkes
  2. Yann Dubois
  3. Elia Bruni
  4. Gautier Dagan
  5. Anand Singh
  6. Kris Korrel

Papers from Adam Liska's perspective

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

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

Their papers