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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



98b17f068d5d9b7668e19fb8ae470841-Paper.pdf

Neural Information Processing Systems

Notably,we find that neuronal stochasticity plays a large role in the white box adversarial robustness, but that stochasticity alone is insufficient to explain ourresults--neuronal stochasticity interactssupralinearly with theVOneBlock features to driveadversarialrobustness.






95b431e51fc53692913da5263c214162-Supplemental.pdf

Neural Information Processing Systems

We also develop a new auto-encoding algorithm that finds a latent space to disentangle latent input coordinates intowell-separated clusters, which isamenable tooursample complexityanalysis.


95b431e51fc53692913da5263c214162-Paper.pdf

Neural Information Processing Systems

We also develop a new auto-encoding algorithm that finds a latent space to disentangle latent input coordinates intowell-separated clusters, which isamenable tooursample complexityanalysis.