Nov 2, 2022 · In this work, model explanations are fed back to the feed-forward training to help the model generalize better. To this extent, a custom ...
The proposed custom training procedure results in a consistent enhancement of accuracy ranging from. 0.5% to 1.5% throughout all phases of the incremental ...
This work aims to take advantage of the LIME visuals of a model prediction and use these explainable insights to improve the performance of DNNs.
This work proposes a custom weighted loss where the weights are generated by considering the Euclidean distances between true LIME (Local Interpretable ...
The purpose of this investigation was to examine power performance in jump squats when using the complex and contrast training methods.
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Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach ; IEEE. Utilizing Explainable AI for improving the Performance of Neural ...
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. AN Mazumder, N Lyons, A Dubey, A Pandey, A Santra. 2023 31st European ...
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach · A Fast Network Exploration Strategy to Profile Low Energy Consumption for ...
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. AN Mazumder, N Lyons, A Pandey, A Santra, T Mohsenin. 2023 31st European ...
Nov 2, 2022 · Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. September 2023. Arnab Neelim Mazumder · Niall ...