Bethel Ayele Yeshiwas

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bethel Ayele Yeshiwas trusts overall

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

  1. Yann LeCun

Papers from Bethel Ayele Yeshiwas's perspective

Ordered by how strongly the researchers Bethel Ayele Yeshiwas 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. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Visualizing and Understanding Convolutional Networks
  8. Deep Learning
  9. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  10. Learning Multiple Layers of Features from Tiny Images

Their papers