Melanie Mitchell

Computer Vision and Pattern Recognition · with Ajunwa · 2009–2022

A researcher in the Science corpus: 4 papers; trusts 87 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Melanie Mitchell trusts overall

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

  1. R. May
  2. Matthew Cook
  3. Ross B. Girshick
  4. Li Fei-Fei
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Andrew Zisserman
  9. Kaiming He

Who trusts Melanie Mitchell overall

  1. D. Luke
  2. K. Stamatakis
  3. Rakhyun E. Kim
  4. T. Foxon
  5. Joseph Troy Lizier
  6. Robert L. Flood
  7. Petter Törnberg
  8. Bram Bulté
  9. T. Homer-Dixon
  10. M. Moore

Papers from Melanie Mitchell's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Microsoft COCO: Common Objects in Context
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers