Tadaaki Hosaka

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Tadaaki Hosaka trusts overall

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

  1. Geoffrey E. Hinton
  2. Ozan Irsoy
  3. Alex Krizhevsky
  4. Luca Di Persio
  5. Yann LeCun
  6. Alex Graves
  7. Yoshua Bengio
  8. Kaiming He
  9. Wei Bao
  10. Abdel-rahman Mohamed

Who trusts Tadaaki Hosaka overall

  1. A. Ozbayoglu
  2. Tomas Kliestik
  3. M. Ugur Gudelek
  4. Katarína Valášková
  5. Omer Berat Sezer
  6. George Cristian Lazaroiu
  7. M. Kováčová

Papers from Tadaaki Hosaka's perspective

Ordered by how strongly the researchers Tadaaki Hosaka 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers