Joel Hestness

Artificial Intelligence · 2011–2023

A researcher in the Science corpus: 8 papers; trusts 184 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Joel Hestness trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Shun-ichi Amari
  6. Ilya Sutskever
  7. Oriol Vinyals
  8. Alex Graves
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Joel Hestness overall

  1. Aran Komatsuzaki
  2. Asit K. Mishra
  3. Jared Kaplan
  4. N. Ahmed
  5. Ibrahim M. Alabdulmohsin
  6. Alec Radford
  7. Mark Johnson
  8. J. Latorre
  9. Samuel R. Bowman
  10. Jared Kaplan

Papers from Joel Hestness's perspective

Ordered by how strongly the researchers Joel Hestness 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers