Chanjun Park

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chanjun Park trusts

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

  1. Jason Aaron Edward Weston (in Natural Language Processing)
  2. Kurt Shuster (in Natural Language Processing)
  3. Joseph Weizenbaum (in Natural Language Processing)
  4. Y-Lan Boureau (in Artificial Intelligence)

Papers from Chanjun Park's perspective

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

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

Their papers