Mark Díaz

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 8 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Díaz trusts overall

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

  1. Zeerak Talat
  2. Paul Ekman
  3. Lora Aroyo
  4. Diederik P. Kingma
  5. Dirk Hovy
  6. Vinodkumar Prabhakaran
  7. Rion Snow
  8. Geoffrey E. Hinton
  9. Jimmy Ba
  10. Dan Hendrycks

Who trusts Mark Díaz overall

  1. Vinodkumar Prabhakaran
  2. Ben Hutchinson
  3. Aida Mostafazadeh Davani

Papers from Mark Díaz's perspective

Ordered by how strongly the researchers Mark Díaz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers