Leonardo Zepeda-Núñez

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Leonardo Zepeda-Núñez trusts overall

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

  1. Maizar Raissi
  2. Timothy Dozat
  3. Lloyd N. Trefethen
  4. Stéphane Mallat

Who trusts Leonardo Zepeda-Núñez overall

  1. Zong-Yi Li

Papers from Leonardo Zepeda-Núñez's perspective

Ordered by how strongly the researchers Leonardo Zepeda-Núñez 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Et al
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers