Hector Yee

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hector Yee trusts overall

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

  1. Nicolas Usunier
  2. Yisong Yue
  3. Bernhard Schölkopf
  4. James Davidson
  5. David Buffoni
  6. Ryan M. Rifkin
  7. Fen Xia
  8. Markus Weimer

Who trusts Hector Yee overall

  1. Harald Steck
  2. Anna Choromanska
  3. Yashoteja Prabhu
  4. Himanshu Jain
  5. Manik Varma

Papers from Hector Yee's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers