R. Clark

Artificial Intelligence · with Saurous · 2017–2020

A researcher in the Science corpus: 7 papers; trusts 94 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

Whom R. Clark trusts overall

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

  1. Diederik P. Kingma
  2. Heiga Zen
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Matthew D. Zeiler
  9. Yann LeCun
  10. Jimmy Ba

Who trusts R. Clark overall

  1. Xu Tan
  2. Cong Han
  3. Ye Jia
  4. Chenpeng Du
  5. Sang-Hoon Lee
  6. Rongjie Huang
  7. Yi Ren
  8. Yu Zhang
  9. Rafael Valle
  10. Jonathan Shen

Papers from R. Clark's perspective

Ordered by how strongly the researchers R. Clark 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers