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Optimal Algorithms for Learning Partitions with Faulty Oracles
Neural Information Processing Systems
This models applications where learners crowdsource information from non-expert human workers or conduct noisy experiments to determine group structure. The learner aims to exactly recover a partition by submitting queries of the form "are
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A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications
Neural Information Processing Systems
This paper studies transfer-based attacks under a unified theoretical framework.
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A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Neural Information Processing Systems
Haplotype assembly and viral quasispecies reconstruction are challenging tasks concerned with analysis of genomic mixtures using sequencing data.
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