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Bamchop: A bioinformatics utility to summarize and visualize exome and other types of targeted resequencing data.

, , , , , , , and . BIBM Workshops, page 670-673. IEEE Computer Society, (2012)

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Combining satellite imagery and machine learning to predict poverty, , , , , and . Science, 353 (6301): 790--794 (2016)Amino - A Distributed Runtime for Applications Running Dynamically Across Device, Edge and Cloud., , , , , and . SEC, page 361-366. IEEE, (2018)Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping., , , , and . AAAI, page 3929-3935. AAAI Press, (2016)WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , and 6 other author(s). CoRR, (2020)WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , and 13 other author(s). ICML, volume 139 of Proceedings of Machine Learning Research, page 5637-5664. PMLR, (2021)Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11424-11435. PMLR, (2021)Reparameterizable Subset Sampling via Continuous Relaxations., and . IJCAI, page 3919-3925. ijcai.org, (2019)Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning., , and . NeurIPS, page 16158-16170. (2021)DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining., , , , , , , , , and . CoRR, (2023)Data Selection for Language Models via Importance Resampling., , , and . CoRR, (2023)