Mark Coeckelbergh

Artificial Intelligence · 2010–2023

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Coeckelbergh trusts overall

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

  1. Cynthia Lynn Breazeal
  2. James H. Moor
  3. Luciano Floridi
  4. Wendell Wallach
  5. Wojciech Samek
  6. Geoffrey E. Hinton
  7. Jon M. Kleinberg
  8. Tim Miller
  9. C. Gilligan
  10. Mariarosaria Taddeo

Who trusts Mark Coeckelbergh overall

  1. Jie Zhang
  2. Filippo Santoni de Sio
  3. Heike Felzmann

Papers from Mark Coeckelbergh's perspective

Ordered by how strongly the researchers Mark Coeckelbergh 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers