Rocky Rhodes

Computer Vision and Pattern Recognition · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rocky Rhodes trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Andrew G. Howard

Papers from Rocky Rhodes's perspective

Ordered by how strongly the researchers Rocky Rhodes 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. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Identity Mappings in Deep Residual Networks

Their papers