Caleb M. Chacha

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Caleb M. Chacha trusts overall

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

  1. Hoifung Poon
  2. Radford M. Neal
  3. Matthew Richardson
  4. Dan Jurafsky
  5. Pedro M. Domingos
  6. R. Fikes
  7. Robin Roberson Murphy
  8. Richard Howey
  9. David M. Blei
  10. Christophe Andrieu

Who trusts Caleb M. Chacha overall

  1. Been Kim
  2. Erico Tjoa
  3. Cuntai Guan
  4. Finale Doshi-Velez

Papers from Caleb M. Chacha's perspective

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

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

Their papers