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From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space.

, , , , and . AAAI, page 21046-21054. AAAI Press, (2024)

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Multimodal Prototypical Networks for Few-shot Learning., , , and . CoRR, (2020)Self Paced Adversarial Training for Multimodal Few-shot Learning., , , , and . CoRR, (2018)Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification., , , , , , , , , and 2 other author(s). CoRR, (2024)From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space., , , , and . AAAI, page 21046-21054. AAAI Press, (2024)Low-Shot Learning From Imaginary 3D Model., , , , , and . WACV, page 978-985. IEEE, (2019)Self-Paced Adversarial Training for Multimodal Few-Shot Learning., , , , and . WACV, page 218-226. IEEE, (2019)Optimizing Explanations by Network Canonization and Hyperparameter Search., , , , and . CVPR Workshops, page 3819-3828. IEEE, (2023)Discriminative Hallucination for Multi-Modal Few-Shot Learning., , , and . ICIP, page 156-160. IEEE, (2018)Multimodal Prototypical Networks for Few-shot Learning., , , and . WACV, page 2643-2652. IEEE, (2021)Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models., , , and . MICCAI (2), volume 14221 of Lecture Notes in Computer Science, page 596-606. Springer, (2023)