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Less is More: Understanding Neural Network Decisions via Simplified Yet Informative Inputs

Understanding the relative importance of input information on the neural network learning process could lead to improved model interpretability and new scientific discoveries. A popular method for finding connections between information and learning is using heuristics-based ablation techniques to mask or remove information to create…

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