Rudolf Kadlec

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 4 papers; trusts 127 researchers and is trusted by 74 researchers here, as inferred from the citation graph.

Subfields

Whom Rudolf Kadlec trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Tomas Mikolov
  5. Yann LeCun
  6. Jason Aaron Edward Weston
  7. Oriol Vinyals
  8. Ilya Sutskever
  9. Sepp Hochreiter
  10. Alex Krizhevsky

Who trusts Rudolf Kadlec overall

  1. Zhuosheng Zhang
  2. Yiming Cui
  3. Minghao Hu
  4. Yi Tay
  5. Danqi Chen
  6. Ting-Wei Liu
  7. Shuohang Wang
  8. Bhuwan Dhingra
  9. Qian Chen
  10. Yuxing Peng

Papers from Rudolf Kadlec's perspective

Ordered by how strongly the researchers Rudolf Kadlec 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers