Bennett Kleinberg

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Bennett Kleinberg trusts overall

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

  1. Verónica Pérez-Rosas
  2. Myle Ott
  3. Max Kuhn
  4. Vasilios A. Siris
  5. Rada Mihalcea
  6. Daniel Klein
  7. Erik Cambria
  8. Hank Liao
  9. Christopher D. Manning
  10. Claire Cardie

Who trusts Bennett Kleinberg overall

  1. Xinyi Zhou
  2. Neema Kotonya
  3. Srijan Kumar
  4. Iftikhar Ahmad

Papers from Bennett Kleinberg's perspective

Ordered by how strongly the researchers Bennett Kleinberg 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers