Melissa Hall

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Melissa Hall trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Yurii E. Nesterov
  4. Geoffrey E. Hinton
  5. Jason Aaron Edward Weston
  6. Emily Dinan
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Melissa Hall overall

  1. Myra Cheng

Papers from Melissa Hall's perspective

Ordered by how strongly the researchers Melissa Hall 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. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers