Ioannis Mollas

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ioannis Mollas trusts overall

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

  1. Leo Breiman
  2. Vladimir Naumovich Vapnik
  3. Jerome H. Friedman
  4. Kunihiko Fukushima
  5. Karen Spärck Jones
  6. Yoav Freund
  7. Andrew McCallum
  8. Min-Ling Zhang
  9. Grigorios Tsoumakas
  10. Björn Gambäck

Who trusts Ioannis Mollas overall

  1. Chrisantha Fernando
  2. Dylan Banarse

Papers from Ioannis Mollas's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers