uncertainty-baselines
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An iterative version of Introspective Active Sampling.
An iterative version of Introspective Active Sampling.
- Implements function that calculates bias values for examples and generates a lookup table from example_id to bias value/label. Label is determined using value from threshold flag.
- Implements iterative loop for active sampling. For each round of active sampling, train models on different combinations of data splits, calculate bias values, and train a model jointly on the main task and bias classification.
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