Melanie Mitchell

Artificial Intelligence · with Krakauer · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Melanie Mitchell trusts overall

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

  1. Tal Linzen
  2. Emily M. Bender
  3. Jacob Devlin
  4. Gary F. Marcus
  5. Geoffrey E. Hinton
  6. Lawrence W. Barsalou
  7. Yoshua Bengio
  8. Elizabeth S. Spelke
  9. Diederik P. Kingma
  10. Josh Tenenbaum

Who trusts Melanie Mitchell overall

  1. Abeba Birhane
  2. Inioluwa Deborah Raji
  3. Khansa Rasheed
  4. Andrew Kyle Lampinen

Papers from Melanie Mitchell's perspective

Ordered by how strongly the researchers Melanie Mitchell 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers