Todd M. Gureckis

Artificial Intelligence · 2004–2021

A researcher in the Science corpus: 8 papers; trusts 49 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Todd M. Gureckis trusts overall

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

  1. Ulf-Dietrich Reips
  2. Michael H. Birnbaum
  3. Robyn M. Dawes
  4. Richard S. Sutton
  5. John K. Kruschke
  6. Kate Crawford
  7. Bradley C. Love
  8. Winter A. Mason
  9. David G. Lowe
  10. Geoffrey E. Hinton

Who trusts Todd M. Gureckis overall

  1. Brenden M. Lake
  2. Chia-ying Lee
  3. Leib Litman
  4. Drew Linsley
  5. Jesse J. Chandler
  6. Gabriele Paolacci
  7. Theodore R. Sumers
  8. Ida Momennejad
  9. Tad Hogg
  10. Josh Tenenbaum

Papers from Todd M. Gureckis's perspective

Ordered by how strongly the researchers Todd M. Gureckis 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. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers