Midan Shim

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Midan Shim trusts overall

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

  1. Jason Aaron Edward Weston
  2. Emily Dinan
  3. Joseph Weizenbaum
  4. Kurt Shuster
  5. Eric Michael Smith
  6. Jing Xu
  7. Alec Radford
  8. Stephen Roller
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Papers from Midan Shim's perspective

Ordered by how strongly the researchers Midan Shim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Language Models are Unsupervised Multitask Learners
  10. ImageNet: A large-scale hierarchical image database

Their papers