Fernando Martínez-Plumed

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fernando Martínez-Plumed trusts overall

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

  1. Judea Pearl
  2. José Hernandez-Orallo
  3. David H. Autor
  4. Rory Bunker
  5. Erik Brynjolfsson
  6. Daron Acemoglu
  7. Shohei Shimizu
  8. Chris J. Thornton
  9. Xindong Wu
  10. Anuj Karpatne

Papers from Fernando Martínez-Plumed's perspective

Ordered by how strongly the researchers Fernando Martínez-Plumed trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Multiple Layers of Features from Tiny Images
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Microsoft COCO: Common Objects in Context
  5. Human-level control through deep reinforcement learning
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. Mastering the game of Go with deep neural networks and tree search
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers