Benet Oriol Sabat

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benet Oriol Sabat trusts overall

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

  1. Karen Simonyan
  2. Irene Kwok
  3. Jacob Devlin
  4. Jia Deng
  5. Andrew Zisserman
  6. Nemanja Djuric
  7. Yuzhou Wang
  8. Ming-Wei Chang
  9. Wei Dong
  10. Geoffrey E. Hinton

Who trusts Benet Oriol Sabat overall

  1. Fabio Poletto
  2. Valerio Basile

Papers from Benet Oriol Sabat's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers