Maria De-Arteaga

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maria De-Arteaga trusts overall

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

  1. Martin Hilbert
  2. Moritz Hardt
  3. Tomas Mikolov
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Piotr Bojanowski
  7. Yoshua Bengio
  8. Francisco Cantú
  9. Cynthia Dwork
  10. Alex Krizhevsky

Who trusts Maria De-Arteaga overall

  1. Piyawat Lertvittayakumjorn
  2. Shauli Ravfogel
  3. Laleh Seyyed-Kalantari
  4. Sunipa Dev
  5. Xi Victoria Lin
  6. Flavien Prost
  7. Han Liu
  8. Jieyu Zhao
  9. Iker Ceballos
  10. Pieter Delobelle

Papers from Maria De-Arteaga's perspective

Ordered by how strongly the researchers Maria De-Arteaga 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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