Matthew Lamm

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Lamm trusts overall

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

  1. Kenton C. T. Lee
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Sepp Hochreiter
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Yann LeCun

Who trusts Matthew Lamm overall

  1. Xi Ye
  2. Greg Durrett
  3. William L. Hamilton
  4. Luyu Gao
  5. Oyvind Tafjord
  6. Zichao Li
  7. Stanislas Polu
  8. Sarah Wiegreffe
  9. Peter Clark
  10. Danish Pruthi

Papers from Matthew Lamm's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  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. 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