William Merrill

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom William Merrill trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Alex Graves
  10. Karen Simonyan

Who trusts William Merrill overall

  1. Samuel R. Bowman
  2. Gabriel Poesia

Papers from William Merrill's perspective

Ordered by how strongly the researchers William Merrill 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers