Thomas Carta

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Carta trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jimmy Ba
  5. Wenlong Huang
  6. John Schulman
  7. Alex Krizhevsky
  8. Emily M. Bender
  9. Roma Patel
  10. Ilya Sutskever

Who trusts Thomas Carta overall

  1. Geunwoo Kim
  2. Grégoire Mialon
  3. Pierre Baldi

Papers from Thomas Carta's perspective

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

Their papers