Helena Vasconcelos

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Helena Vasconcelos trusts overall

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

  1. John K. Kruschke
  2. Matthew Botvinick
  3. Wouter Kool
  4. Peter Hase
  5. Scott M. Lundberg
  6. Daniel Kahneman
  7. J. Cohen
  8. Amitai Shenhav
  9. Mohit Bansal
  10. Upol Ehsan

Papers from Helena Vasconcelos's perspective

Ordered by how strongly the researchers Helena Vasconcelos 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers