Miguel L. Rodrigues

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miguel L. Rodrigues trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. David Burth Kurka (in Artificial Intelligence)
  3. Deniz Gündüz (in Artificial Intelligence)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. X. Zhang (in Computer Vision and Pattern Recognition)
  7. Yoshua Bengio (in Computer Vision and Pattern Recognition)

Papers from Miguel L. Rodrigues's perspective

Ordered by how strongly the researchers Miguel L. Rodrigues 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. Attention is All you Need (Neural Information Processing Systems)
  3. Learning Multiple Layers of Features from Tiny Images
  4. Going deeper with convolutions
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  7. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers