Leon Weber

Artificial Intelligence · 2002–2023

A researcher in the Science corpus: 6 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Leon Weber trusts overall

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

  1. Dirk Weissenborn
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Minjoon Seo
  6. Zachary Chase Lipton
  7. Sepp Hochreiter
  8. Stephen H. Bach
  9. Alex Graves
  10. J. Urgen Schmidhuber

Who trusts Leon Weber overall

  1. Oyvind Tafjord
  2. Peter Clark
  3. Yufei Feng
  4. Kezhen Chen
  5. Ziqi Wang
  6. Forough Arabshahi
  7. Suyu Ge
  8. Bhavana Dalvi
  9. WonJin Yoon

Papers from Leon Weber's perspective

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

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

Their papers