Roma Patel

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 6 papers; trusts 164 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Roma Patel trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Kaiming He
  8. Alec Radford
  9. Yann LeCun
  10. J. Urgen Schmidhuber

Who trusts Roma Patel overall

  1. Thomas Carta
  2. Richard Ngo
  3. Nora Kassner
  4. Wes Gurnee
  5. Leonard Bereska
  6. Clément Romac
  7. Max Tegmark
  8. Samuel Marks
  9. M. V. Koroteev
  10. Tongshuang Sherry Wu

Papers from Roma Patel's perspective

Ordered by how strongly the researchers Roma Patel 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers