Taesik Gong

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Taesik Gong trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Sergey Ioffe
  7. Yoshua Bengio
  8. Sepp Hochreiter
  9. Christian Szegedy
  10. Jimmy Ba

Who trusts Taesik Gong overall

  1. Mert Kilickaya
  2. Joost van de Weijer

Papers from Taesik Gong's perspective

Ordered by how strongly the researchers Taesik Gong 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers