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Interpretable Inductive Biases and Physically Structured Learning
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A NeurIPS workshop proposal
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Interpretable Inductive Biases and Physically Structured Learning
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2026-03-03 11:12:02
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Interpretable Inductive Biases and Physically Structured Learning | A NeurIPS workshop proposal Workshop Abstract Speakers Key Dates Call for Papers Schedule NeurIPS workshop on Interpretable Inductive Biases and Physically Structured Learning December 12 th , 2020 Click here to access the workshop Abstract Over the last decade, deep networks have propelled machine learning to accomplish tasks previously considered far out of reach, human-level performance in image classification and game-playing. However, research has also shown that the deep networks are often brittle to distributional shifts in data: it has been shown that human-imperceptible changes can lead to absurd predictions. In many application areas, including physics, robotics, social sciences and life sciences, this motivates the need for robustness and interpretability, so that models can be trusted in practical applications. Interpretable and robust models can be constructed by incorporating pr...
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