Benjamin Mitzkus

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Mitzkus trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Shaoqing Ren
  9. Ilya Sutskever
  10. Christian Szegedy

Who trusts Benjamin Mitzkus overall

  1. Evgenia Rusak
  2. Shahaf E. Finder
  3. Jake Snell

Papers from Benjamin Mitzkus's perspective

Ordered by how strongly the researchers Benjamin Mitzkus 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers