Tomás Nekvinda

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Tomás Nekvinda trusts overall

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

  1. Kyubyong Park
  2. Yu Zhang
  3. Hideyuki Tachibana
  4. Emmanouil Antonios Platanios
  5. Nal Kalchbrenner
  6. Geoffrey E. Hinton
  7. Yaroslav Ganin
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Ron J. Weiss

Who trusts Tomás Nekvinda overall

  1. Zhaoxi Mu
  2. Mutian He
  3. Xu Tan
  4. Xinyu Yang
  5. Jingzhou Yang
  6. Tao Qin
  7. Lei He
  8. Yizhuo Dong
  9. Frank K. Soong

Papers from Tomás Nekvinda's perspective

Ordered by how strongly the researchers Tomás Nekvinda 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. Attention is All you Need (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers