Sunghwan Sohn

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sunghwan Sohn trusts overall

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

  1. Larry Michael Manevitz
  2. Tomas Mikolov

Papers from Sunghwan Sohn's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Learning
  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. Building a Large Annotated Corpus of English: The Penn Treebank
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers