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Found 3 papers, 1 papers with code
A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity
Toxicity is an increasingly common and severe issue in online spaces.
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model
To address this problem, we propose RoCourseNet, a training framework that jointly optimizes predictions and recourses that are robust to future data shifts.
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations
Prior techniques for generating CF explanations suffer from two major limitations: (i) all of them are post-hoc methods designed for use with proprietary ML models -- as a result, their procedure for generating CF explanations is uninformed by the training of the ML model, which leads to misalignment between model predictions and explanations; and (ii) most of them rely on solving separate time-intensive optimization problems to find CF explanations for each input data point (which negatively impacts their runtime).
