Doo Seok Jeong

Electrical and Electronic Engineering · with Bennamoun · 2021

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 Doo Seok Jeong trusts

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

  1. Eugene M. Izhikevich (in Cognitive Neuroscience)
  2. Paul J. Werbos (in Numerical Methods & Scientific Computing)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Doo Seok Jeong's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Understanding the difficulty of training deep feedforward neural networks
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers