Philipp Hacker
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it
- Safety, Robustness & Interpretability — 30 citations into it
- Safety Research — 12 citations into it
- Health Informatics — 11 citations into it
- AI Ethics, Fairness & Society — 9 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Philipp Hacker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric J. Topol
- Andrew D. Selbst
- Alec Radford
- Geoffrey E. Hinton
- Wojciech Samek
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Solon Barocas
- Ilya Sutskever
Who trusts Philipp Hacker overall
Papers from Philipp Hacker's perspective
Ordered by how strongly the researchers Philipp Hacker trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Regulating ChatGPT and other Large Generative AI Models (2023) — 486 citations
- Explainable AI under contract and tort law: legal incentives and technical challenges (2020) — 125 citations