Dan Calacci

2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Dan Calacci trusts overall

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

  1. Justin Grimmer
  2. Gerlof J. Bouma
  3. Matthew Gentzkow
  4. David M. Blei
  5. Matthew D. Hoffman
  6. John D. Wilkerson
  7. Mohit Iyyer

Who trusts Dan Calacci overall

  1. David M. J. Lazer
  2. Julia Mendelsohn
  3. Reid Pryzant

Papers from Dan Calacci's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Online Learning for Latent Dirichlet Allocation
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Political Ideology Detection Using Recursive Neural Networks

Their papers