Orestis Plevrakis

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Orestis Plevrakis trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Adversarial Examples
  4. Yoshua Bengio
  5. Nitish Srivastava
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Kaiming He
  10. Yann LeCun

Who trusts Orestis Plevrakis overall

  1. Phillip Isola
  2. Yonglong Tian

Papers from Orestis Plevrakis's perspective

Ordered by how strongly the researchers Orestis Plevrakis 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. ImageNet classification with deep convolutional neural networks
  3. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers