Maya Cakmak

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 15 papers; trusts 72 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Maya Cakmak trusts overall

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

  1. Burr Settles
  2. Andreas Krause
  3. Richard S. Sutton
  4. Sanjoy Dasgupta
  5. Stephen W. Carden
  6. Frank J. Balbach
  7. Sally A. Goldman
  8. Carlos Guestrin
  9. Andrew Y. Ng
  10. Dana Angluin

Who trusts Maya Cakmak overall

  1. Xiaojin Zhu
  2. Daniel S. Brown
  3. Yusen Zhan
  4. Scott Niekum
  5. Harish Chaandar Ravichandar
  6. Bradley Hayes
  7. Barış Akgün
  8. Anca Dragan
  9. Matthew E. Taylor
  10. Kaushik Subramanian

Papers from Maya Cakmak's perspective

Ordered by how strongly the researchers Maya Cakmak 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Reinforcement Learning: An Introduction
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers