Tomasz Kacprzak

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 10 papers; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tomasz Kacprzak trusts overall

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

  1. Yoshua Bengio
  2. Davide Boscaini
  3. Yann LeCun
  4. Xavier Glorot
  5. Geoffrey E. Hinton
  6. Jonathan Masci
  7. Pascal Frossard
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Evan Shelhamer

Who trusts Tomasz Kacprzak overall

  1. L. Zampieri

Papers from Tomasz Kacprzak's perspective

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

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

Their papers