Marcin Mazur

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marcin Mazur trusts overall

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

  1. Snehashish Chakraverty
  2. Deepti Moyi Sahoo
  3. Zhiqin Chen
  4. Kaiming He
  5. Chao Dong
  6. Pawel Morawiecki
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky

Papers from Marcin Mazur's perspective

Ordered by how strongly the researchers Marcin Mazur 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers