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A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features
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A large-scale audit of dataset licensing and attribution in AI
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Classical sorting algorithms as a model of morphogenesis: Self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence
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Efficient and scalable reinforcement learning for large-scale network control
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Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
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Learning integral operators via neural integral equations
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Factuality challenges in the era of large language models and opportunities for fact-checking
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A step forward in tracing and documenting dataset provenance
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Fast Yet Effective Machine Unlearning
IEEE Transactions on Neural Networks and Learning Systems
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StarAN: A star attention network utilizing inter-view and intra-view correlations for sparse-view cone-beam computed tomography reconstruction
Expert Systems With Applications
2024-09-05
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