Eun Seo Jo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Eun Seo Jo trusts overall

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

  1. James E. Johndrow
  2. Alec Radford
  3. Kristian Lum
  4. Philipp Koehn
  5. Eric Gilbert
  6. Jeff Wu
  7. Joy Buolamwini
  8. Harini Suresh
  9. Timnit Gebru

Who trusts Eun Seo Jo overall

  1. Jordan L. Boyd-Graber
  2. Inioluwa Deborah Raji
  3. Stella Biderman
  4. Emily L. Denton
  5. Emily M. Bender
  6. Alexandra Sasha Luccioni
  7. Margaret Mitchell
  8. Angelina Wang
  9. Walter J. Scheirer
  10. Anna Rogers

Papers from Eun Seo Jo's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers