Daniel G. Goldstein

Artificial Intelligence · 1996–2020

A researcher in the Science corpus: 16 papers; trusts 57 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel G. Goldstein trusts overall

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

  1. Gerd Gigerenzer
  2. Spyros Makridakis
  3. Jörg Rieskamp
  4. Ulrich Hoffrage
  5. Shlomo Benartzi
  6. Himabindu Lakkaraju
  7. Benjamin Scheibehenne
  8. Robyn M. Dawes
  9. Winter A. Mason
  10. Richard H. Thaler

Who trusts Daniel G. Goldstein overall

  1. Gerd Gigerenzer
  2. Robin M. Hogarth
  3. Peter M. Todd
  4. A. Glöckner
  5. T. Betsch
  6. Matthew T. Hora
  7. Ralph Hertwig
  8. Guillermo Campitelli
  9. Clintin P. Davis-Stober
  10. Jenine R. Maeyer

Papers from Daniel G. Goldstein's perspective

Ordered by how strongly the researchers Daniel G. Goldstein 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. Regression Shrinkage and Selection via the Lasso
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Reinforcement Learning: An Introduction

Their papers