Leibny Paola García-Perera

Signal Processing · 2021

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leibny Paola García-Perera trusts overall

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

  1. Zhuo Chen
  2. Diederik P. Kingma
  3. Yusuke Fujita
  4. Yi Luo
  5. Shota Horiguchi
  6. Shinji Watanabe
  7. Neil Zeghidour
  8. Dong Yu
  9. John R. Hershey
  10. Jimmy Ba

Papers from Leibny Paola García-Perera's perspective

Ordered by how strongly the researchers Leibny Paola García-Perera trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers