Paolo Campolucci

Model Architectures · 1999

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Campolucci trusts overall

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

  1. Ronald J. Williams
  2. J. Urgen Schmidhuber
  3. Jeffrey L. Elman
  4. Michael C. Mozer
  5. Fernando J. Pineda
  6. David E. Rumelhart
  7. Bernard Widrow
  8. Paul J. Werbos
  9. Geoffrey E. Hinton
  10. G. Puskorius

Who trusts Paolo Campolucci overall

  1. Enrico Zio
  2. JingJing Wang
  3. Francesco Di Maio

Papers from Paolo Campolucci's perspective

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

Their papers