This story was originally published on HackerNoon at: https://hackernoon.com/ablation-the-role-of-fused-labels-and-teacher-ema-in-instance-incremental-learning.
This ablation study on Cifar-100 validates the three core components of the proposed IIL method.
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The proposed method mainly consists of three components: DBD with fused label (FL), DBD. with dusting the input space ( DIS), and knowledge consolidation (KC) The ablation study on these three components is shown in Fig. 5. It can be seen that all components contributes to the continual knowledge accumulation with new data.

This story was originally published on HackerNoon at: https://hackernoon.com/stop-automating-work-start-training-evolution.
We have built systems that run like clockwork. And maybe that is the problem.
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We have built systems that run like clockwork. And maybe that is the problem.

This story was originally published on HackerNoon at: https://hackernoon.com/dwaraka-nath-kummari-champions-machine-learning-to-reinvent-industrial-compliance.
Dwaraka Nath Kummari’s research applies machine learning to transform compliance monitoring, boosting accuracy, transparency, and industrial resilience.
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Researcher Dwaraka Nath Kummari is redefining industrial compliance through machine learning. His work shows how AI can shift audits from manual oversight to predictive monitoring—detecting risks, ensuring data integrity, and driving sustainable manufacturing. His ethical, scalable framework promotes transparency and adaptability in modern industrial systems.