Sungmin Kang

Information Systems · with Yoo · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sungmin Kang trusts overall

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

  1. Gordon Fraser
  2. Carlos Pacheco
  3. René Just
  4. Michael D. Ernst
  5. Fengji Zhang
  6. Andrea Arcuri
  7. Rajeev Alur
  8. Darioush Jalali
  9. Yujia Li
  10. Tom B. Brown

Who trusts Sungmin Kang overall

  1. Chun Xia
  2. Angela Fan
  3. Zhiqiang Yuan
  4. Angelica Chen
  5. Yinlin Deng
  6. Beliz Gokkaya
  7. Yiling Lou

Papers from Sungmin Kang's perspective

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

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

Their papers