D. Angelov

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom D. Angelov trusts overall

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

  1. Tomas Mikolov
  2. Leland McInnes
  3. Geoffrey E. Hinton
  4. Omer Levy
  5. Quoc V. Le
  6. John Healy
  7. Yoshua Bengio
  8. L. V. D. van der Maaten
  9. Ilya Sutskever
  10. David M. Blei

Who trusts D. Angelov overall

  1. Roman Egger
  2. Manuel J. Sánchez-Franco
  3. Joanne Yu
  4. Manuel Rey-Moreno
  5. Niklas Muennighoff
  6. Maarten Grootendorst

Papers from D. Angelov's perspective

Ordered by how strongly the researchers D. Angelov 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers