I. Fodor

Artificial Intelligence · 2002

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom I. Fodor trusts overall

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

  1. Eric R. Ziegel
  2. Teuvo Kohonen
  3. Aapo Hyvärinen
  4. Mark A. Kramer
  5. King C. P. Li
  6. Trevor J. Hastie
  7. Helge J. Ritter
  8. Michael V. Boland
  9. Michael L. Raymer
  10. Robert Tibshirani

Who trusts I. Fodor overall

  1. Udayan Khurana
  2. Timothée Lesort
  3. Horst Samulowitz
  4. Natalia Díaz Rodríguez
  5. Deepak S. Turaga
  6. Jean-François Goudou
  7. Phillip E. Pope
  8. Charith Perera
  9. David Filliat
  10. Amir Zamir

Papers from I. Fodor's perspective

Ordered by how strongly the researchers I. Fodor 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet: A large-scale hierarchical image database

Their papers