W. Kotłowski

Artificial Intelligence · 2007–2014

A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom W. Kotłowski trusts overall

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

  1. Robert E. Schapire
  2. Yoav Freund
  3. Jerome H. Friedman
  4. Thorsten Joachims
  5. Arie Ben-David
  6. William W. Cohen
  7. David Ruppert
  8. Salvatore Greco
  9. Vladimir Koltchinskii
  10. Leo Breiman

Who trusts W. Kotłowski overall

  1. Shivani Agarwal
  2. Dmitry M. Malioutov
  3. Min-Ling Zhang
  4. Clément Calauzènes
  5. Marjolein Fokkema
  6. Cynthia Rudin
  7. Berk Ustun
  8. Zhi-Hua Zhou
  9. Clément Bénard
  10. Kush R. Varshney

Papers from W. Kotłowski's perspective

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

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

Their papers