Kobi Leins

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kobi Leins trusts overall

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

  1. John R. Clark
  2. Emily M. Bender
  3. Helen Nissenbaum
  4. Brent Daniel Mittelstadt
  5. Dirk Hovy
  6. Alec Radford
  7. Cynthia Dwork

Who trusts Kobi Leins overall

  1. Anjalie Field
  2. Su Lin Blodgett

Papers from Kobi Leins's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Language Models are Unsupervised Multitask Learners
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Efficient Estimation of Word Representations in Vector Space
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers