Antonio Candelieri

Computer Vision and Pattern Recognition · 2014

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 Antonio Candelieri trusts overall

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

  1. Ameet Talwalkar
  2. Sanjiv Kumar
  3. Peter J. Rousseeuw

Papers from Antonio Candelieri's perspective

Ordered by how strongly the researchers Antonio Candelieri 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Going deeper with convolutions
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers