Frances Ann Hubis

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frances Ann Hubis trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Dan Hendrycks
  8. Yann LeCun
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Frances Ann Hubis overall

  1. Zheda Mai
  2. Dongsub Shim

Papers from Frances Ann Hubis's perspective

Ordered by how strongly the researchers Frances Ann Hubis 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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