Maurice Jakesch
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #29,634 of 35,345 by trust here, #25,809 by citations
- Sociology and Political Science — 21 citations into it
- Communication — 8 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
- Social Psychology — 5 citations into it
Whom Maurice Jakesch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Palan
- Alec Radford
- Yla R. Tausczik
- A. Coppock
- Ayse Pinar Saygin
- Ashish Vaswani
- Jeremy Howard
- Ari Holtzman
- Marzena Karpinska
- Mark R. Leary
Who trusts Maurice Jakesch overall
Papers from Maurice Jakesch's perspective
Ordered by how strongly the researchers Maurice Jakesch trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Unsupervised Multitask Learners
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Human heuristics for AI-generated language are flawed (2022) — 366 citations
- Co-Writing with Opinionated Language Models Affects Users’ Views (2023) — 389 citations