Niklas Muennighoff

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 27 papers; trusts 363 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Niklas Muennighoff trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Jacob Devlin
  6. Alec Radford
  7. Alex Krizhevsky
  8. Nils Reimers
  9. Kaiming He
  10. Yann LeCun

Who trusts Niklas Muennighoff overall

  1. Hong-Liu Cao
  2. Shitao Xiao
  3. Liang Wang
  4. Parishad BehnamGhader
  5. Hongjin Su
  6. John X. Morris
  7. Akari Asai
  8. Zheng Liu
  9. Vaibhav Adlakha
  10. Teven Le Scao

Papers from Niklas Muennighoff's perspective

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

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

Their papers