J. Acosta

Artificial Intelligence · with Falcone · 2022

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 J. Acosta trusts overall

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

  1. Andrew Jaegle
  2. Alec Radford
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yuhao Zhang
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Kaiming He
  10. Andrew Zisserman

Who trusts J. Acosta overall

  1. Stefan Harrer

Papers from J. Acosta's perspective

Ordered by how strongly the researchers J. Acosta 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  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. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers