VIS Full Papers: Explainable AI and Machine Learning
Session chair: Hendrik Strobelt
Live-stream room: Bourbon
Wednesday, Oct 27th, 2021 @ 13:00 – 14:30GMT+00:00Change your timezone on the schedule page
Finished 4 years agoYour current time: Wednesday, Jun 25th @ 22:26
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AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing
Hamza Elhamdadi
recorded
13:00 – 13:15GMT+00:00Change your timezone on the schedule page
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
Zhenge Zhao
recorded
13:15 – 13:30GMT+00:00Change your timezone on the schedule page
Towards Visual Explainable Active Learning for Zero-Shot Classification
Shichao Jia
recorded
13:30 – 13:45GMT+00:00Change your timezone on the schedule page
M^2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang
recorded
13:45 – 14:00GMT+00:00Change your timezone on the schedule page
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Haekyu Park
recorded
14:00 – 14:15GMT+00:00Change your timezone on the schedule page
Visual Analytics for RNN-Based Deep Reinforcement Learning
Junpeng Wang
recorded
14:15 – 14:30GMT+00:00Change your timezone on the schedule page
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