Erik Zawadzki

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Erik Zawadzki trusts overall

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

  1. Michael L. Littman
  2. Michael H. Bowling
  3. Yoav Shoham
  4. Christopher K. I. Williams
  5. Bikramjit Banerjee
  6. G. Tesauro
  7. Rob Powers
  8. Tim Hesterberg
  9. James C. Spall
  10. Arthur Gretton

Who trusts Erik Zawadzki overall

  1. Jakob N. Foerster
  2. Yannis Assael
  3. Shimon Whiteson
  4. Nantas Nardelli
  5. Afshin Oroojlooyjadid
  6. Diane Bouchacourt

Papers from Erik Zawadzki's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Reinforcement Learning: An Introduction
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Et al

Their papers