Ken Takasawa

Molecular Biology · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ken Takasawa trusts overall

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

  1. Geoffrey E. Hinton
  2. Peter J. Rousseeuw
  3. Ryuji Hamamoto
  4. Claus Nebauer
  5. Jason D. Buenrostro
  6. L. V. D. van der Maaten
  7. David E. Rumelhart
  8. I. A. Roundtree
  9. Alex Krizhevsky
  10. Yoshua Bengio

Papers from Ken Takasawa's perspective

Ordered by how strongly the researchers Ken Takasawa 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Visualizing Data using t-SNE
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers