John Pavlopoulos

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 7 papers; trusts 272 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom John Pavlopoulos trusts overall

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

  1. Tomas Mikolov
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Quoc V. Le
  7. Kyunghyun Cho
  8. Dzmitry Bahdanau
  9. Jimmy Ba
  10. Alex Krizhevsky

Who trusts John Pavlopoulos overall

  1. Pushkar Mishra
  2. Alexandros Xenos
  3. Helen Yannakoudakis
  4. Ekaterina Shutova
  5. Ji Ho Park
  6. Shrimai Prabhumoye
  7. Bertie Vidgen
  8. Mladen Karan
  9. Saif M. Mohammad
  10. Michael Castelle

Papers from John Pavlopoulos's perspective

Ordered by how strongly the researchers John Pavlopoulos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers