Kisub Kim

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kisub Kim trusts overall

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

  1. Tomas Mikolov
  2. Miltiadis Allamanis

Papers from Kisub Kim's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. Efficient Estimation of Word Representations in Vector Space
  5. ImageNet classification with deep convolutional neural networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  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