Lydia B. Chilton

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 8 papers; trusts 56 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Lydia B. Chilton trusts overall

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

  1. Greg Little
  2. Michelene T. H. Chi
  3. Victor Raskin
  4. Panagiotis G. Ipeirotis
  5. Michael S. Bernstein
  6. Luis von Ahn
  7. J. Whitehill
  8. Rob Miller
  9. Alvin E. Roth
  10. Aniket Kittur

Who trusts Lydia B. Chilton overall

  1. Michael S. Bernstein
  2. Daniel S. Weld
  3. Daniela Retelny
  4. Kevin Crowston
  5. Joy Kim
  6. Adam Marcus
  7. Tongshuang Sherry Wu
  8. Joseph Chee Chang
  9. Nicolas Sommet
  10. Hyunjung Park

Papers from Lydia B. Chilton's perspective

Ordered by how strongly the researchers Lydia B. Chilton 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. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers