D. Parkes

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 8 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom D. Parkes trusts overall

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

  1. Noam Nisan
  2. Berk Ustun
  3. Thomas G. Dietterich
  4. Sushil Bikhchandani
  5. Joan Feigenbaum
  6. Harikrishna Narasimhan
  7. William E. Walsh
  8. Michael Kearns
  9. Moritz Hardt
  10. Dimitri P. Bertsekas

Who trusts D. Parkes overall

  1. Han-Lim Choi
  2. Paul R. Milgrom
  3. Lawrence M. Ausubel
  4. M. Serna
  5. Luc Brunet
  6. Yoav Shoham
  7. Rong Ge
  8. Anima Anandkumar
  9. David Balduzzi
  10. Joan Feigenbaum

Papers from D. Parkes's perspective

Ordered by how strongly the researchers D. Parkes 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Equality of Opportunity in Supervised Learning
  6. Intriguing properties of neural networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers