Masaaki Komatsu

Molecular Biology · 2019–2024

A researcher in the Science corpus: 8 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masaaki Komatsu trusts overall

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

  1. Claus Nebauer
  2. Jason D. Buenrostro
  3. Ryuji Hamamoto
  4. Geoffrey E. Hinton
  5. David E. Rumelhart
  6. Yoshua Bengio
  7. Alex Krizhevsky

Papers from Masaaki Komatsu's perspective

Ordered by how strongly the researchers Masaaki Komatsu 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Visualizing Data using t-SNE
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Learning representations by back-propagating errors

Their papers