Papers by Linjie Xu
Relabeling Minimal Training Subset to Flip a Prediction (2024.findings-eacl)
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| Challenge: | Existing methods to identify and relabel training subsets that can flip a prediction are not efficient, argues a new study. |
| Approach: | They propose an algorithm to identify and relabel the smallest training subset St needed to flip a prediction. |
| Outcome: | The proposed algorithm can flip a prediction on a test point xt with 2% of training points . the proposed method can be used for multiple purposes including evaluating model robustness . |