Teruyuki Suzuki

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Teruyuki Suzuki trusts overall

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

  1. Masashi Sugiyama
  2. Ingo Steinwart
  3. Tom Minka
  4. James Franklin
  5. Taiji Suzuki
  6. Inderjit S. Dhillon
  7. Alex Smola
  8. Michael E. Tipping
  9. Robert Tibshirani
  10. Bernhard Schölkopf

Who trusts Teruyuki Suzuki overall

  1. Dustin Tran
  2. Balaji Lakshminarayanan
  3. Qiang Liu
  4. Jiaxin Shi
  5. Yingzhen Li
  6. Hyunjik Kim
  7. Wouter M. Kouw
  8. Traiko Dinev
  9. Rajesh Ranganath
  10. Michael Tschannen

Papers from Teruyuki Suzuki's perspective

Ordered by how strongly the researchers Teruyuki Suzuki 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. Learning Multiple Layers of Features from Tiny Images
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers