Miguel Ramos de Araujo

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Miguel Ramos de Araujo trusts overall

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

  1. Anshumali Shrivastava
  2. Behnam Neyshabur
  3. Yehuda Koren
  4. Daniel D. Lee
  5. Daniel M. Dunlavy
  6. Tamara G. Kolda
  7. Nati Srebro
  8. Ping Li
  9. Stergios B. Fotopoulos
  10. Hans-Jürgen Sebastian

Who trusts Miguel Ramos de Araujo overall

  1. Lijun Sun
  2. Bernie Wang
  3. Xinyu Chen

Papers from Miguel Ramos de Araujo's perspective

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

Their papers