Hiroshi Takahashi

Artificial Intelligence · with Iwata · 2018

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroshi Takahashi trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Danilo Jimenez Rezende
  4. Yoshua Bengio
  5. Max Welling
  6. Alex Krizhevsky
  7. Matthew D. Zeiler
  8. J. Tomczak
  9. Ruslan Salakhutdinov
  10. Yann LeCun

Who trusts Hiroshi Takahashi overall

  1. Arash Vahdat
  2. Abhishek Sinha
  3. Jyoti Aneja
  4. Martin Mundt
  5. Jan Kautz
  6. Karsten Kreis
  7. Jiaming Song
  8. Alexander Gerhard Schwing

Papers from Hiroshi Takahashi's perspective

Ordered by how strongly the researchers Hiroshi Takahashi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers