Earlence Fernandes

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 11 papers; trusts 73 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Earlence Fernandes trusts overall

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

  1. Adrienne Porter Felt
  2. Ian J. Goodfellow
  3. Alex Krizhevsky
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Nicolas Papernot
  8. David A. Wagner
  9. Ross B. Girshick
  10. Yoshua Bengio

Who trusts Earlence Fernandes overall

  1. Lei Yang
  2. Stepan Alekseevich Komkov
  3. Florian Tramèr
  4. Nataliia Neshenko
  5. Edward Chou
  6. Aleksandr Petiushko
  7. Sarah Wiegreffe
  8. Kevin Eykholt
  9. Jiajun Lu
  10. Ivan Evtimov

Papers from Earlence Fernandes's perspective

Ordered by how strongly the researchers Earlence Fernandes 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. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers