Marius Mosbach

Artificial Intelligence · with Adlakha · 2024

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #33,139 of 35,345 by trust here, #20,836 by citations
• Natural Language Processing — 24 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Marius Mosbach trusts overall

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

1. Niklas Muennighoff
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Ilya Sutskever
6. Jacob Devlin
7. Alex Krizhevsky
8. Yonatan Belinkov
9. Richard Socher
10. Yann LeCun

Who trusts Marius Mosbach overall

1. Hong-Liu Cao

Papers from Marius Mosbach's perspective

Ordered by how strongly the researchers Marius Mosbach 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. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. ImageNet classification with deep convolutional neural networks
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
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

• LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders (2024) — 526 citations