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L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise

Research article (Neural Information Processing Systems, 2019) · cited 123× · AI/ML
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L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise

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L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise. Retrieved May 24, 2026, from https://4ort.xyz/entity/l-dmi-a-novel-information-theoretic-loss-function-for-training-deep-nets-robust-to-label-noise
MLA “L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/l-dmi-a-novel-information-theoretic-loss-function-for-training-deep-nets-robust-to-label-noise.
BibTeX @misc{4ortxyz_l-dmi-a-novel-information-theoretic-loss-function-for-training-deep-nets-robust-to-label-noise_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise}}, year = {2026}, url = {https://4ort.xyz/entity/l-dmi-a-novel-information-theoretic-loss-function-for-training-deep-nets-robust-to-label-noise}, note = {Accessed: 2026-05-24}}
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