Vineeth N Balasubramanian
4 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
2022 · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Counterfactual examples for an input—perturbations that change specific features but not others—have been shown to be useful for evaluating bias of machine learning models, e.g., against specific demographic groups. However, generating counterfactual examples for images …
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Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
2022 · arXiv (Cornell University)
In class-incremental learning, the model is expected to learn new classes continually while maintaining knowledge on previous classes. The challenge here lies in preserving the model's ability to effectively represent prior classes in the feature …
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On Counterfactual Data Augmentation Under Confounding
2023 · arXiv (Cornell University)
Counterfactual data augmentation has recently emerged as a method to mitigate confounding biases in the training data. These biases, such as spurious correlations, arise due to various observed and unobserved confounding variables in the data …
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Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
2025 · arXiv (Cornell University)
Concept-based methods have emerged as a promising direction to develop interpretable neural networks in standard supervised settings. However, most works that study them in incremental settings assume either a static concept set across all experiences …