William Watkins

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom William Watkins trusts overall

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

  1. Matthew D. Zeiler

Who trusts William Watkins overall

  1. Jared D. Willard
  2. Xiaowei Jia
  3. D. Finol

Papers from William Watkins's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Et al
  4. Deep Learning
  5. The Elements of Statistical Learning
  6. Learning to Forget: Continual Prediction with LSTM
  7. Why Does Unsupervised Pre-training Help Deep Learning?
  8. ADADELTA: An Adaptive Learning Rate Method
  9. Do Deep Nets Really Need to be Deep?
  10. Generalization of backpropagation with application to a recurrent gas market model

Their papers