PN 6

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

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281 to 290 of 877 Results

XGB-HPO_steps.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 110.4 GB - MD5: e4671ada3b462010955e4da02dd9687c DATA
Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities 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...
hnc_clean_strict_train.json Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities JSON - 7.6 GB - MD5: d2ed063924be0ead2b1475deeb001cf6 HNC training set, automatically generated.
hnc_clean_strict_val.json Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities JSON - 1.1 GB - MD5: 6fe56c1128fa3615bcd41dd281636578 HNC validation set, automatically generated.
test_set_v1-0.json Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities 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"
UNITE Toolbox 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...
aux_functions.py Jun 18, 2024 - UNITE Toolbox Python Source Code - 1.6 KB - MD5: bae1019ad6ad6c0e05d7e30f8b333ebc
bin_estimators.py Jun 18, 2024 - UNITE Toolbox Python Source Code - 12.5 KB - MD5: a7312c93824324f1862f7dcaf4b1cfe1

XGB-HPO_steps.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 110.4 GB -

DATA

Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities

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...

hnc_clean_strict_train.json

Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities

JSON - 7.6 GB -

HNC training set, automatically generated.

hnc_clean_strict_val.json

Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities

JSON - 1.1 GB -

HNC validation set, automatically generated.

test_set_v1-0.json

Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities

JSON - 411.7 KB -

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"

UNITE Toolbox

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...

aux_functions.py

Jun 18, 2024 - UNITE Toolbox

Python Source Code - 1.6 KB -

bin_estimators.py

Jun 18, 2024 - UNITE Toolbox

Python Source Code - 12.5 KB -

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