Tasha Nagamine

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tasha Nagamine trusts overall

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

  1. Geoffrey E. Hinton
  2. Abdel-rahman Mohamed
  3. Matthew D. Zeiler
  4. George E. Dahl
  5. Yoshua Bengio
  6. Stéphane Mallat
  7. Sergey Ioffe
  8. Christian Szegedy
  9. Alex Krizhevsky
  10. Rob Fergus

Who trusts Tasha Nagamine overall

  1. Yonatan Belinkov
  2. James R. Glass
  3. Alexis Conneau
  4. Edouard Oyallon
  5. Nima Mesgarani
  6. Yi Luo
  7. Germán Kruszewski

Papers from Tasha Nagamine's perspective

Ordered by how strongly the researchers Tasha Nagamine 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers