PN 6-4

SimTech Project PN 6-4 "Visual Analytics for Deep Learning"

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11 to 20 of 38 Results

Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" Jul 25, 2023 Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/darus-3456, DaRUS, V1 Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language...
classification.mp4 Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" MPEG-4 Video - 103.2 MB - MD5: 528bdd106b37c293308d8fc175ae0dd7 Video demonstrating our classification system.
Classification.zip Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" ZIP Archive - 16.8 MB - MD5: 01987c2f7fe58478c03b52bdc3527c66 Screenshots of our classification system.
nmt.mp4 Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" MPEG-4 Video - 94.4 MB - MD5: 870a6bea2d5039fcdf5f88694e277244 Video demonstrating our neural machine translation system.
NMT.zip Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" ZIP Archive - 2.1 MB - MD5: 45e317e218545d8d33aaa99f0bb3ffef Screenshots of our neural machine translation system.
Visual Analysis System for Scene-Graph-Based Visual Question Answering Jul 25, 2023 Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3589, DaRUS, V1 Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
GraphVQA-Explorer_v1.0.zip Jul 25, 2023 - Visual Analysis System for Scene-Graph-Based Visual Question Answering ZIP Archive - 2.7 MB - MD5: b8a072d4e77d1306ec3e027a5537c2cc Source code of our visual analytics system
NMTVis - Extended Neural Machine Translation Visualization System Jan 26, 2022 Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2022, "NMTVis - Extended Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-2124, DaRUS, V1 NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte...
nmtvis_v2.0.zip Jan 26, 2022 - NMTVis - Extended Neural Machine Translation Visualization System ZIP Archive - 32.8 MB - MD5: 06b9aac73424ff7ef6e6aede57f1ecaf Source code of our visual analytics system
Visual Analytics System for Hidden States in Recurrent Neural Networks Sep 10, 2021 Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1 Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy...

Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

Jul 25, 2023

Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/darus-3456, DaRUS, V1

Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language...

classification.mp4

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

MPEG-4 Video - 103.2 MB -

Video demonstrating our classification system.

Classification.zip

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

ZIP Archive - 16.8 MB -

Screenshots of our classification system.

nmt.mp4

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

MPEG-4 Video - 94.4 MB -

Video demonstrating our neural machine translation system.

NMT.zip

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

ZIP Archive - 2.1 MB -

Screenshots of our neural machine translation system.

Visual Analysis System for Scene-Graph-Based Visual Question Answering

Jul 25, 2023

Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3589, DaRUS, V1

Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.

GraphVQA-Explorer_v1.0.zip

Jul 25, 2023 - Visual Analysis System for Scene-Graph-Based Visual Question Answering

ZIP Archive - 2.7 MB -

Source code of our visual analytics system

NMTVis - Extended Neural Machine Translation Visualization System

Jan 26, 2022

Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2022, "NMTVis - Extended Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-2124, DaRUS, V1

NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte...

nmtvis_v2.0.zip

Jan 26, 2022 - NMTVis - Extended Neural Machine Translation Visualization System

ZIP Archive - 32.8 MB -

Source code of our visual analytics system

Visual Analytics System for Hidden States in Recurrent Neural Networks

Sep 10, 2021

Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1

Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy...

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