- By:
- Chae, Junghoon ; Gao, Shang ; Ramanathan, Arvind ; Steed, Chad A; Tourassi, Georgia
- Book Title:
- Workshop on Visual Analytics for Deep Learning
- Publication Date:
- December 27, 2023
- Conference Name:
- Workshop on Visual Analytics for Deep Learning at IEEE VIS
- Conference Location:
- Phoenix, Arizona, United States of America
- Conference Sponsor:
- IEEE
Abstract
Recently, the techniques based on Deep Neural Networks (DNNs) have achieved a great performance in classification tasks in a wide range of applications, such as image recognition and natural language processing. However, DNN developers face a lot of trial and error during the development process and spend their efforts in debugging their network model through analyzing and understanding the classification results. As such, tools are needed that help the developers not only understand the results, but also suggest the ways to improve their model. In this paper, we propose a visual analytics tool for visualizing the classification results during the iterative development pipeline of a DNN model. Our tool enables exploring the classification results from any type of neural network models, identifying misclassified samples, examining the predicted score distributions of samples, and showing how the outcomes progressively change during the training process.
