Author

Mohammad Taha Bahadori

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Franziska SeegeriD· 1 shared Hongyu SheniD· 1 shared Layne C. PriceiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Franziska SeegerORCID

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1 paper

Recent·Most cited

Improving Generalizability of Protein Sequence Models with Data Augmentations

Hongyu Shen, Layne C. Price, Mohammad Taha Bahadori, Franziska Seeger

The paper improves protein sequence model generalizability by applying data augmentations and contrastive learning, showing performance gains across multiple tasks.

bioRxiv · Feb 18, 2021 · PreprintBioinformatics