Noseong Park

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noseong Park trusts overall

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

  1. Charu C. Aggarwal
  2. Martín Arjovsky
  3. Alec Radford
  4. Geoffrey E. Hinton
  5. Jaideep Vaidya
  6. L. Eon Bottou
  7. Traian Marius Truta
  8. Augustus Odena
  9. Yoshua Bengio
  10. Reza Shokri

Who trusts Noseong Park overall

  1. Vadim Borisov
  2. Lei Xu
  3. Mikel Hernandez
  4. Kathrin Sessler
  5. Tobias Leemann

Papers from Noseong Park's perspective

Ordered by how strongly the researchers Noseong Park 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. Learning Multiple Layers of Features from Tiny Images

Their papers