Maximilian Mozes
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
Whom Maximilian Mozes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Noam Shazeer
- Geoffrey E. Hinton
- Jimmy Ba
- Yoshua Bengio
- Brian Lester
- Emily Dinan
- Timo Schick
- Ilya Sutskever
- Alex Krizhevsky
Papers from Maximilian Mozes's perspective
Ordered by how strongly the researchers Maximilian Mozes trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
Their papers
- Challenges and Applications of Large Language Models (2023) — 504 citations
- Towards Agile Text Classifiers for Everyone (2023) — 14 citations
- Identifying the sentiment styles of YouTube’s vloggers (2018) — 15 citations