SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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281 to 290 of 877 Results
Plain Text - 110.4 GB - MD5: e4671ada3b462010955e4da02dd9687c
DATA
Jul 8, 2024 - Hard Negative Captions
Tilli, Pascal, 2024, "Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities", https://doi.org/10.18419/DARUS-4341, DaRUS, V1
Image-Text-Matching (ITM) is one of the defacto methods of learning generalized representations from a large corpus in Vision and Language (VL). However, due to the weak association between the web-collected image–text pairs, models fail to show fine-grained understanding of the combined semantics of these modalities. To this end, we propose Hard N...
JSON - 7.6 GB - MD5: d2ed063924be0ead2b1475deeb001cf6
HNC training set, automatically generated.
JSON - 1.1 GB - MD5: 6fe56c1128fa3615bcd41dd281636578
HNC validation set, automatically generated.
JSON - 411.7 KB - MD5: 22dcb8f1f3ab6497b5c4db5f3d756726
HNC test set, annotated by humans.
Hard Negative Captions(Universität Stuttgart)
Jul 3, 2024PN 6-5 (II)
PN 6-5 (II)(Universität Stuttgart)
Jul 3, 2024
SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"
Jun 18, 2024 - PN 6A-4
Álvarez Chaves, Manuel; Ehret, Uwe; Guthke, Anneli, 2024, "UNITE Toolbox", https://doi.org/10.18419/DARUS-4188, DaRUS, V1
UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantities in one easy-to-use Python package. Currently, UNITE i...
Jun 18, 2024 - UNITE Toolbox
Python Source Code - 1.6 KB - MD5: bae1019ad6ad6c0e05d7e30f8b333ebc
Jun 18, 2024 - UNITE Toolbox
Python Source Code - 12.5 KB - MD5: a7312c93824324f1862f7dcaf4b1cfe1
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