James Caverlee

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 6 papers; trusts 23 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom James Caverlee trusts overall

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

  1. Ian H. Witten
  2. Steven Bird
  3. Eibe Frank
  4. Mehran Sahami
  5. Yiming Yang
  6. Leo Breiman
  7. Bryan Klimt
  8. Dennis Fetterly
  9. Andrea Esuli
  10. Yoav Freund

Who trusts James Caverlee overall

  1. David M. Beskow
  2. Bo Han
  3. Onur Varol
  4. Liang Wu
  5. Fred Morstatter
  6. Binghui Wang
  7. Brent J. Hecht
  8. Umashanthi Pavalanathan
  9. William Yang Wang
  10. Dr. Matthias Seeger

Papers from James Caverlee's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers