Peter Izsak

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Izsak trusts overall

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

  1. Yoshua Bengio
  2. Karen Simonyan
  3. Jacob Devlin
  4. Geoffrey E. Hinton
  5. Alec Radford
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Peter Izsak overall

  1. Sehoon Kim
  2. J. Scott McCarley
  3. Lu Hou
  4. Olga Kovaleva
  5. Anna Rogers
  6. Xinyin Ma
  7. Young Jin Kim
  8. Ali Hadi Zadeh

Papers from Peter Izsak's perspective

Ordered by how strongly the researchers Peter Izsak 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers