Masato Neishi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Masato Neishi trusts overall

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

  1. Diederik P. Kingma
  2. Oriol Vinyals
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Sepp Hochreiter
  7. Dzmitry Bahdanau
  8. Kyunghyun Cho
  9. Jimmy Ba
  10. Sumit Chopra

Who trusts Masato Neishi overall

  1. Shun Kiyono
  2. Sosuke Kobayashi
  3. Nadav Brandes
  4. Jun Suzuki

Papers from Masato Neishi's perspective

Ordered by how strongly the researchers Masato Neishi 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers