Verónica Álvarez

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Verónica Álvarez trusts overall

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

  1. Hongseok Namkoong
  2. Albert Bifet
  3. Jyrki Kivinen
  4. Soroosh Shafieezadeh-Abadeh
  5. Shahrokh Akhlaghi
  6. João Gama
  7. John C. Duchi
  8. Alex Smola
  9. D. Kühn
  10. Ning Zhou

Papers from Verónica Álvarez's perspective

Ordered by how strongly the researchers Verónica Álvarez 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Intriguing properties of neural networks
  8. A survey on concept drift adaptation
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers