Peter A. Caccetta

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Peter A. Caccetta trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Yann LeCun
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Liang-Chieh Chen
  10. X. Zhang

Who trusts Peter A. Caccetta overall

  1. Chenxi Duan

Papers from Peter A. Caccetta's perspective

Ordered by how strongly the researchers Peter A. Caccetta 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers