A. Kain

Artificial Intelligence · 1998–2017

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom A. Kain trusts overall

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

  1. Satoshi Imai
  2. Zhizheng Wu
  3. Xavier Glorot
  4. Toru Nakashika
  5. Mirjam Wester
  6. Yoshua Bengio
  7. Yi-Chiao Wu
  8. Antoine Bordes

Who trusts A. Kain overall

  1. Hirokazu Kameoka
  2. Takuhiro Kaneko
  3. Linghui Chen
  4. Zhizheng Wu
  5. Berrak Sisman
  6. Junichi Yamagishi
  7. Seyed Hamidreza Mohammadi
  8. Yannis Agiomyrgiannakis
  9. Heiga Zen
  10. Toru Nakashika

Papers from A. Kain's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Understanding the difficulty of training deep feedforward neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Deep Sparse Rectifier Neural Networks
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers