8 citations · 13 across the 11 of their papers we have counts for
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cs.CV2023★ 2 cited
Measuring axiomatic soundness of counterfactual image models
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski +2
We present a general framework for evaluating image counterfactuals. The power and flexibility of deep generative models make them valuable tools for learning mechanisms in structu…
cs.CV2023
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation
Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan +4
Purpose: In curriculum learning, the idea is to train on easier samples first and gradually increase the difficulty, while in self-paced learning, a pacing function defines the spe…