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 3 years agoYour current time: Sunday, Mar 30th @ 07:09


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

You may want to also jump to the parent event to see related presentations: VIS Full Papers

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