Maho Nakata

Artificial Intelligence · 2001–2021

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maho Nakata trusts overall

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

  1. Noel M. O'Boyle
  2. R. Ramakrishnan
  3. Sergey Ioffe
  4. Thomas Kipf
  5. Geoffrey E. Hinton
  6. David Weininger
  7. Diederik P. Kingma
  8. Weihua Hu
  9. Yoshua Bengio

Who trusts Maho Nakata overall

  1. Weihua Hu
  2. Eugene S. Kryachko
  3. Matthias Fey
  4. Eduardo V. Ludeña
  5. Chengxuan Ying

Papers from Maho Nakata's perspective

Ordered by how strongly the researchers Maho Nakata 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. Attention is All you Need (Neural Information Processing Systems)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet Large Scale Visual Recognition Challenge
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers