Joseph Rothstein

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Rothstein trusts overall

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

  1. Geoffrey E. Hinton
  2. Ross B. Girshick
  3. Sergey Ioffe
  4. Kaiming He
  5. Shaoqing Ren

Papers from Joseph Rothstein's perspective

Ordered by how strongly the researchers Joseph Rothstein trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers