Daniel A. Hashimoto

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel A. Hashimoto trusts overall

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

  1. Alex Krizhevsky
  2. Genevieve B. Melton
  3. Prakash M. Nadkarni
  4. Geoffrey E. Hinton
  5. Richard S. Sutton
  6. Carol Friedman
  7. George Hripcsak
  8. Ilya Sutskever
  9. Bruce G. Buchanan
  10. Xiaosong Wang

Who trusts Daniel A. Hashimoto overall

  1. Adam Bohr
  2. Kaveh Memarzadeh
  3. Blake Murdoch
  4. Luís Pinto-Coelho

Papers from Daniel A. Hashimoto's perspective

Ordered by how strongly the researchers Daniel A. Hashimoto 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers