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No-Regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
Neural Information Processing Systems
The question of "as if" rationality - that is, whether selfishly-minded, myopic agents may learn to
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Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice
Neural Information Processing Systems
AI systems need exact descriptions of tasks to be performed.
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Deep Learning Through AT elescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond Alan Jeffares
Neural Information Processing Systems
Deep learning sometimes appears to work in unexpected ways.
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Persistent Test-time Adaptation in Recurring Testing Scenarios
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Current test-time adaptation (TT A) approaches aim to adapt a machine learning model to environments that change continuously.
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