Felipe L. Gewers

Artificial Intelligence · 2018

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

Subfields

Whom Felipe L. Gewers trusts overall

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

  1. Christophe Giraud
  2. Mia Hubert
  3. Hui Zou
  4. Pascal Vincent
  5. Christopher K. I. Williams
  6. Nicolai Bissantz
  7. Jian Yang
  8. Peter J. Rousseeuw
  9. Nanning Zheng
  10. Trevor J. Hastie

Papers from Felipe L. Gewers's perspective

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

Their papers