Manoel Horta Ribeiro

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Manoel Horta Ribeiro trusts overall

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

  1. Zeerak Talat
  2. William L. Hamilton
  3. Jure Leskovec
  4. Kaiming He
  5. Aditya Grover
  6. William Warner
  7. P. Burnap
  8. Irene Kwok
  9. Benjamin Golub
  10. Jeffrey Pennington

Who trusts Manoel Horta Ribeiro overall

  1. Binny Mathew
  2. Bertie Vidgen
  3. Pawan Goyal

Papers from Manoel Horta Ribeiro's perspective

Ordered by how strongly the researchers Manoel Horta Ribeiro 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers