Gradient Explanation Data Conversion Unit
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Solution Overview
Problem
There is no existing technology to convert explanation data from Integrated Gradient (IG) to Vanilla Gradient (VG) for machine learning models, despite VG offering simpler information useful for model evaluation and data-free knowledge distillation.
Innovation Solution
An information processing device with an estimation result acquisition unit and an explanation data conversion unit that converts first explanation data (IG) into second explanation data (VG) based on estimation results, utilizing algorithms to handle bias and zero components in the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Integrated Gradient (IG) explanation data is used, then explanatory power is improved, but information simplicity deteriorates
Solution Approach 1:
The patent transforms explanation data between different gradient-based methods (IG and VG) by adjusting computational parameters. The conversion unit changes the mathematical parameters of the explanation data from IG format to VG format, allowing users to switch between high explanatory power and high simplicity based on their needs, without losing the underlying attribution information.
2Loss of information
If Vanilla Gradient (VG) explanation data is used, then information simplicity is improved, but explanatory power deteriorates
Solution Approach 1:
The conversion unit enables bidirectional transformation between IG and VG explanation data by modifying computational parameters. When VG data needs to be converted to IG-like explanatory power, the system adjusts the parameter representation while preserving the gradient attribution information, effectively converting simplicity into explanatory depth.
Solution Approach 2:
The patent introduces a conversion unit as an intermediary component that mediates between IG and VG explanation methods. This intermediary transforms the explanation data from one format to another, allowing the system to leverage the simplicity of VG while achieving the explanatory power of IG through parameter transformation.
3Adaptability or versatility
If conversion from IG to VG explanation data is implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The conversion unit serves as a dedicated intermediary component that handles the transformation between different explanation formats. By isolating the conversion logic in a separate unit, the system achieves high adaptability without significantly increasing overall complexity, as the conversion process is encapsulated and can be independently optimized.
Data Source
AI summary
Provided is an information processing device including: an estimation result acquisition unit that acquires estimation result data indicating an estimation result of a machine learning model and first explanation data for explaining the estimation result; and an explanation data conversion unit that converts the first explanation data into second explanation data on the basis of the estimation result data.