Pamela Mishkin

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 9 papers; trusts 336 researchers and is trusted by 1,152 researchers here, as inferred from the citation graph.

Subfields

Whom Pamela Mishkin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jonathan Ho
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Yang Song
  10. Alex Graves

Who trusts Pamela Mishkin overall

  1. Heewoo Jun
  2. Wenhu Chen
  3. Alex Nichol
  4. Renrui Zhang
  5. Irene Solaiman
  6. Jing Yu Koh
  7. Yilun Du
  8. Omri Avrahami
  9. Shuang Li
  10. Leonardo Banh

Papers from Pamela Mishkin's perspective

Ordered by how strongly the researchers Pamela Mishkin 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers