Emily Fertig

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Emily Fertig trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Kaiming He
  6. Yann LeCun
  7. Yoshua Bengio
  8. Dan Hendrycks
  9. Sepp Hochreiter
  10. Max Welling

Who trusts Emily Fertig overall

  1. Erik A. Daxberger
  2. Stanislav Fort
  3. Joost R. van Amersfoort
  4. Pavel Izmailov
  5. Andrew Gordon Wilson
  6. L. Noel
  7. Saikiran Bulusu
  8. Jie Jessie Ren
  9. Zhizhong Li
  10. Balaji Lakshminarayanan

Papers from Emily Fertig's perspective

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

Their papers