Iason Gabriel

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 10 papers; trusts 89 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Iason Gabriel trusts overall

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

  1. Brent Daniel Mittelstadt
  2. Amartya Sen
  3. Tim Salimans
  4. Paul Christiano
  5. Tom Everitt
  6. Andrew Y. Ng
  7. Jan Leike
  8. Nick Bostrom
  9. Joy Buolamwini
  10. Richard S. Sutton

Who trusts Iason Gabriel overall

  1. Alexander Robey
  2. Josef Dai
  3. Richard Ngo
  4. Jonathan Stray
  5. Krishna Murthy Jatavallabhula
  6. Guohao Li
  7. Eric Wong
  8. Jenna Burrell
  9. Xuehai Pan
  10. Tomasz Korbak

Papers from Iason Gabriel's perspective

Ordered by how strongly the researchers Iason Gabriel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers