Ariel Goldstein

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ariel Goldstein trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. David E. Rumelhart
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Yann LeCun
  7. Alex Graves
  8. Diederik P. Kingma
  9. Kaiming He
  10. Leo Breiman

Who trusts Ariel Goldstein overall

  1. Yu Takagi
  2. Michal Kosinski

Papers from Ariel Goldstein's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers