Emiel van Miltenburg

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 10 papers; trusts 189 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Emiel van Miltenburg trusts overall

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

  1. Oriol Vinyals
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Peter Young
  5. Bryan A. Plummer
  6. Diederik P. Kingma
  7. Camiel J. Beukeboom
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Ondrej Dusek

Who trusts Emiel van Miltenburg overall

  1. Dana Pessach
  2. Desmond Elliott
  3. Sebastian Gehrmann
  4. Elizabeth Clark
  5. Piek T. J. M. Vossen
  6. Dora Zhao
  7. Anastasia Shimorina
  8. Rachel Rudinger
  9. Eric Michael Smith
  10. Inioluwa Deborah Raji

Papers from Emiel van Miltenburg's perspective

Ordered by how strongly the researchers Emiel van Miltenburg 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. 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers