Yuta Kikuchi

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yuta Kikuchi trusts overall

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

  1. Ilya Sutskever
  2. Alex Graves
  3. Sepp Hochreiter
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Oriol Vinyals
  7. J. Urgen Schmidhuber
  8. Diederik P. Kingma
  9. Nal Kalchbrenner
  10. Kyunghyun Cho

Who trusts Yuta Kikuchi overall

  1. Jun Suzuki
  2. Angela Fan
  3. Masaaki Nagata
  4. Thibault Févry
  5. Stephen Roller
  6. Yizhu Liu
  7. Emily Dinan
  8. Abigail See
  9. Christos Baziotis
  10. Prasann Singhal

Papers from Yuta Kikuchi's perspective

Ordered by how strongly the researchers Yuta Kikuchi 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers