Belle L. Tseng

Artificial Intelligence · 2007–2010

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Belle L. Tseng trusts overall

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

  1. Jon M. Kleinberg
  2. Jerome H. Friedman
  3. Inderjit S. Dhillon
  4. Mark Newman
  5. Jianbo Shi

Who trusts Belle L. Tseng overall

  1. Santo Fortunato
  2. Charu C. Aggarwal
  3. E. Kassens-Noor
  4. Tianbao Yang

Papers from Belle L. Tseng's perspective

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

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

Their papers