F. Alleva

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom F. Alleva trusts overall

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

  1. Frank Torsten Bernd Seide
  2. Tomas Mikolov
  3. Dong Yu
  4. Alex Graves
  5. Geoffrey E. Hinton
  6. J. Urgen Schmidhuber
  7. Ronald J. Williams
  8. Sepp Hochreiter
  9. Hasim Sak
  10. Fernando J. Pineda

Who trusts F. Alleva overall

  1. Sanyuan Chen

Papers from F. Alleva's perspective

Ordered by how strongly the researchers F. Alleva trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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