R. Takashima

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom R. Takashima trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Sepp Hochreiter
  5. Yoshua Bengio
  6. Karen Simonyan
  7. J. Urgen Schmidhuber
  8. Oriol Vinyals
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts R. Takashima overall

  1. Gakuto Kurata
  2. Hadi Pouransari
  3. Jianping Gou
  4. Suyoun Kim
  5. Kartik Audhkhasi
  6. Oncel Tuzel
  7. Hsin-Te Hwang
  8. M. Seltzer
  9. Baosheng Yu
  10. Zhaojie Luo

Papers from R. Takashima's perspective

Ordered by how strongly the researchers R. Takashima 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers