Chelsea Voss
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 7 papers; trusts 58 researchers and is trusted by 138 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it
- Computer Vision and Pattern Recognition — 69 citations into it; #3,009 of 21,575 by trust here, #1,624 by citations
- Large Language Models — 18 citations into it
- Optimization & Training — 15 citations into it
- Model Architectures — 11 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Chelsea Voss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- Yann LeCun
- Alec Radford
- Ilya Sutskever
- Jimmy Ba
- Oriol Vinyals
Who trusts Chelsea Voss overall
Papers from Chelsea Voss's perspective
Ordered by how strongly the researchers Chelsea Voss trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Zero-Shot Text-to-Image Generation (2021) — 6,590 citations
- Multimodal Neurons in Artificial Neural Networks (2021) — 412 citations
- OpenAI GPT-5 System Card (2025) — 667 citations
- GPT-4o System Card (2024) — 4,622 citations
- GPT-4 Technical Report (2023) — 26,133 citations
- Learning to summarize from human feedback (2020) — 3,335 citations
- Learning to summarize with human feedback (2020) — 121 citations