Michal Szmaja

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Szmaja trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Daniel E. Worrall
  4. Max Welling
  5. Taco Cohen
  6. Geoffrey E. Hinton
  7. Adam Coates
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Risi Kondor

Who trusts Michal Szmaja overall

  1. David W. Romero
  2. Osman Semih Kayhan
  3. Fabian B. Fuchs

Papers from Michal Szmaja's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers