Andrew Carroll
Molecular Biology · 2015–2023
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 86 citations into it
Whom Andrew Carroll trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Heng Li (in Molecular Biology)
Papers from Andrew Carroll's perspective
Ordered by how strongly the researchers Andrew Carroll trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Unsupervised Multitask Learners
- Multitask Learning
- A unified architecture for natural language processing: deep neural networks with multitask learning
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- Multimodal Deep Learning
- Scaling Laws for Neural Language Models (arXiv.org)
- Finetuned Language Models Are Zero-Shot Learners
- Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
- Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Their papers
- A global reference for human genetic variation (2015) — 16,925 citations
- Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome (2019) — 1,512 citations
- Pangenomics enables genotyping known structural variants in 5,202 diverse genomes (2021) — 309 citations
- A robust benchmark for detection of germline large deletions and insertions (2020) — 358 citations
- Towards Generalist Biomedical AI (2023) — 549 citations