Ricardo A. Baeza-Yates

Artificial Intelligence · 2001–2023

A researcher in the Science corpus: 14 papers; trusts 31 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Ricardo A. Baeza-Yates trusts overall

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

  1. Georges Dupret
  2. Benjamin Piwowarski
  3. Olivier Chapelle
  4. Doug Beeferman
  5. Latanya Sweeney
  6. Arun Rai
  7. Ryen W. White
  8. Hua-Jun Zeng
  9. Tolga Bolukbasi
  10. Adam L. Berger

Who trusts Ricardo A. Baeza-Yates overall

  1. Fabrizio Silvestri
  2. Aleksandra Korolova
  3. Lihong Li
  4. Alexandra Olteanu
  5. Jianfeng Gao
  6. Jeff Huang
  7. M. Amin Farajian
  8. Ben Shneiderman
  9. Carlos Castillo
  10. Tommaso Di Noia

Papers from Ricardo A. Baeza-Yates's perspective

Ordered by how strongly the researchers Ricardo A. Baeza-Yates 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers