Reva Schwartz

2022

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Reva Schwartz trusts overall

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

  1. Solon Barocas
  2. Thomas Hellström
  3. Harini Suresh
  4. Ninareh Mehrabi
  5. Abeba Birhane
  6. Leo Breiman
  7. Kate Crawford
  8. Timnit Gebru
  9. Arthur L. Samuel
  10. Himabindu Lakkaraju

Who trusts Reva Schwartz overall

  1. Emilio Ferrara

Papers from Reva Schwartz's perspective

Ordered by how strongly the researchers Reva Schwartz 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers