Filip Wolski

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 364 researchers here, as inferred from the citation graph.

Subfields

Whom Filip Wolski trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. Richard S. Sutton
  4. Jimmy Ba
  5. E. Todorov
  6. John Schulman
  7. J. Urgen Schmidhuber
  8. Istvan Szita
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Filip Wolski overall

  1. Sergey Levine
  2. Pieter Abbeel
  3. Yoshua Bengio
  4. Abhinav Kumar Gupta
  5. Trevor Darrell
  6. Danijar Hafner
  7. Yilun Du
  8. Chelsea Finn
  9. Quoc V. Le
  10. Kristen Grauman

Papers from Filip Wolski's perspective

Ordered by how strongly the researchers Filip Wolski 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Asynchronous Methods for Deep Reinforcement Learning
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. ImageNet: A large-scale hierarchical image database
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers