Keisuke Oyamada

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keisuke Oyamada trusts overall

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

  1. Andrew L. Maas
  2. Cassia Valentini-Botinhao
  3. Kaiming He
  4. Daniel W. Griffin
  5. John R. Hershey
  6. Paris Smaragdis
  7. Xudong Mao
  8. X. Zhang
  9. Jae S. Lim
  10. Geoffrey E. Hinton

Who trusts Keisuke Oyamada overall

  1. Hubert Siuzdak
  2. Takuhiro Kaneko
  3. Paarth Neekhara
  4. Kou Tanaka

Papers from Keisuke Oyamada's perspective

Ordered by how strongly the researchers Keisuke Oyamada 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Fully convolutional networks for semantic segmentation

Their papers