Tom Kenter

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 206 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Kenter trusts overall

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

  1. Diederik P. Kingma
  2. Richard Socher
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Tomas Mikolov
  7. Oriol Vinyals
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Kyunghyun Cho

Who trusts Tom Kenter overall

  1. Hamed Zamani
  2. Jiafeng Guo
  3. Sarasi Lalithsena
  4. W. Bruce Croft
  5. Gonenc Ercan
  6. Gandalf Nicolas
  7. Yixing Fan
  8. Dimitrios Bountouridis
  9. Changhan Wang
  10. Jiaqi Mu

Papers from Tom Kenter's perspective

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

Their papers