Alumni
Giyoung Jeon
Now at LG AI Research
- MS/PhD from UNIST, 2015 August – 2023 February
- BS from UNIST, 2015
2 notes
Research
2023
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling
In this paper, we tackle this issue by estimating the distribution of the possible attributions according to the integrating path selection. We show that such noisy attribution can be reduced by aggregating attributions from the multiple paths instead of using a single path. Using multiple input attributions obtained from randomized path, we propose a novel attribution measure using the distribution of attributions at each input features.
2020
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
In this paper, we present an explorative sampling algorithm to analyze generation mechanism of DGNNs. Our method efficiently obtains samples with identical attributes from a query image in a perspective of the trained model. We define generative boundaries which determine the activation of nodes in the internal layer and probe inside the model with this information.
4 papers