Damian Mrowca

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 321 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Damian Mrowca trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Kaiming He
  9. Ruslan Salakhutdinov
  10. Josh Tenenbaum

Who trusts Damian Mrowca overall

  1. Philipp Holl
  2. David Novotný
  3. Navaneeth Bodla
  4. Benjamin Ummenhofer
  5. Alvaro Sanchez-Gonzalez
  6. Vladlen Koltun
  7. Cătălina Cangea
  8. Yuanming Hu
  9. Nils Thürey
  10. Santhosh K. Ramakrishnan

Papers from Damian Mrowca's perspective

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

Their papers