Eunmi L. Oh

Cognitive Neuroscience · 2013–2019

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Eunmi L. Oh trusts overall

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

  1. Panagiotis C. Petrantonakis
  2. Katherine Vytal

Who trusts Eunmi L. Oh overall

  1. Arijit Biswas
  2. Roy Fejgin
  3. Soraia M. Alarcão

Papers from Eunmi L. Oh's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. This PDF file includes: Materials and Methods
  6. WaveNet: A Generative Model for Raw Audio
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Automatic differentiation in PyTorch
  9. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers