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495e55f361708bedbab5d81f92048dcd-Paper-Conference.pdf
Neural Information Processing Systems
"Gated Orthogonal Recurrent Units: On Learningto Forget".
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When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum Neha Gupta Aditya Krishna Menon Harikrishna Narasimhan Ankit Singh Rawat Sanjiv Kumar Google Research, New York
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One simple deferral rule employs the confidence of the current classifier, e.g., based on the maximum predicted softmax probability.
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Improving Self-Supervised Learningby Characterizing Idealized Representations
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" log expg( X+)> (x) P (Citedon 56)
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FairnessTransferability SubjecttoBoundedDistributionShift
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Given an algorithmic predictor that is "fair" on somesource distribution, will it still be fair on an unknowntarget distribution that differs from the source withinsomebound?