N. Foti

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 50 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom N. Foti trusts overall

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

  1. Radford M. Neal
  2. Michael I. Jordan
  3. Max Welling
  4. Diederik P. Kingma
  5. David M. Blei
  6. Geoffrey E. Hinton
  7. Matthew D. Hoffman
  8. Steven L. Scott
  9. Sylvia Frühwirth-Schnatter
  10. Jerome H. Friedman

Who trusts N. Foti overall

  1. Cheng Zhang
  2. Hermanni Hälvä
  3. Mingzhang Yin
  4. Judith Bütepage
  5. Aapo Hyvärinen
  6. David M. Blei
  7. Yuling Yao
  8. James McInerney
  9. Ghassen Jerfel
  10. Jason Ramapuram

Papers from N. Foti's perspective

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

Their papers