Derek Merck

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Derek Merck trusts overall

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

  1. Ronald J. Williams
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Christopher D. Manning
  5. Chin-Yew Lin
  6. Richard Socher
  7. Oriol Vinyals
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Ilya Sutskever

Who trusts Derek Merck overall

  1. Philippe Laban
  2. Zheng Zhao
  3. Zhiyuan Zeng
  4. Mengyao Cao

Papers from Derek Merck's perspective

Ordered by how strongly the researchers Derek Merck trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers