Matthew Renze

Artificial Intelligence · 2024

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 Matthew Renze trusts overall

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

  1. Karen Spärck Jones
  2. Nils Reimers
  3. Geoffrey E. Hinton
  4. Iryna Gurevych
  5. Grégoire Mialon
  6. Yoshua Bengio
  7. Oriol Vinyals
  8. Yann LeCun
  9. Diederik P. Kingma
  10. David H. Ackley

Papers from Matthew Renze's perspective

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

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

Their papers