Sabela Ramos

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sabela Ramos trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard S. Sutton
  3. Diederik P. Kingma
  4. Sergey Levine
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Marc G. Bellemare
  9. Tuomas Haarnoja
  10. Ilya Sutskever

Who trusts Sabela Ramos overall

  1. Matthew W. Hoffman

Papers from Sabela Ramos's perspective

Ordered by how strongly the researchers Sabela Ramos 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers