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Enhancing Instance-Level Image Classification with Set-Level Labels

Autor: Zhang, Renyu, Khan, Aly A., Chen, Yuxin, Grossman, Robert L.

Instance-level image classification tasks have traditionally relied on single-instance labels to train models, e.g., few-shot learning and transfer learning. However, set-level coarse-grained labels that capture relationships among instances can prov

Externí odkaz: http://arxiv.org/abs/2311.05659

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Akademický článek

Isotype-aware inference of B cell clonal lineage trees from single-cell sequencing data

Autor: Weber, Leah L., Reiman, Derek, Roddur, Mrinmoy S., Qi, Yuanyuan, El-Kebir, Mohammed, Khan, Aly A.

Publikováno v: In Cell Genomics 11 September 2024 4(9)

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Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing

Autor: Zhang, Renyu, Khan, Aly A., Grossman, Robert L., Chen, Yuxin

Active learning has demonstrated data efficiency in many fields. Existing active learning algorithms, especially in the context of batch-mode deep Bayesian active models, rely heavily on the quality of uncertainty estimations of the model, and are of

Externí odkaz: http://arxiv.org/abs/2112.13737

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