Pedro M. Q. Aguiar

Artificial Intelligence · 2009–2015

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Pedro M. Q. Aguiar trusts overall

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

  1. E. Tjong Kim Sang
  2. Yurii E. Nesterov
  3. Dimitri P. Bertsekas
  4. Radford M. Neal
  5. John N. Tsitsiklis
  6. Michael Collins
  7. Francis R. Bach
  8. Robert Tibshirani
  9. John D. Lafferty
  10. Thorsten Joachims

Who trusts Pedro M. Q. Aguiar overall

  1. Mohammad Rostami
  2. Dani Yogatama
  3. Ermin Wei
  4. Xu Sun
  5. P. Lorenzo
  6. Ruiliang Zhang
  7. Chenguang Xi

Papers from Pedro M. Q. Aguiar's perspective

Ordered by how strongly the researchers Pedro M. Q. Aguiar trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers