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File Type: Archive

1 to 10 of 26 Results

evaluation_data.7z Jul 25, 2023 - Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering 7Z Archive - 156.9 MB - MD5: 1900cd3a2a3a6836888073127a4978f5 Pregenerated evaluation data
graphvqa_parameters.7z Jul 25, 2023 - Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering 7Z Archive - 2.5 GB - MD5: 6521038f236d50fd2d24aad27ca30bb4 Pretrained model parameters
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.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.
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
experiment-2-M.RData May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison Gzip Archive - 2.1 MB - MD5: e4103247910aff37c173f352e8e4e97c
data.tar.gz Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Gzip Archive - 1011.3 MB - MD5: 2b34cf7ecdb8fa51046ade430586c22e Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.
plots.tar.gz Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Gzip Archive - 53.1 MB - MD5: 32c3950f5bfdb10a512a2e571beda75c Compressed folder containing all generated plots.
results.tar.gz Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Gzip Archive - 106.2 MB - MD5: 749cc3414a9afa6641f0000159634408 Compressed folder of experimental results generated by run_evaluation.py.
data.tar.gz Aug 24, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2] Gzip Archive - 1011.3 MB - MD5: 2b34cf7ecdb8fa51046ade430586c22e Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.

evaluation_data.7z

Jul 25, 2023 - Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering

7Z Archive - 156.9 MB -

Pregenerated evaluation data

graphvqa_parameters.7z

Jul 25, 2023 - Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering

7Z Archive - 2.5 GB -

Pretrained model parameters

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.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.

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

experiment-2-M.RData

May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison

Gzip Archive - 2.1 MB -

data.tar.gz

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Gzip Archive - 1011.3 MB -

Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.

plots.tar.gz

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Gzip Archive - 53.1 MB -

Compressed folder containing all generated plots.

results.tar.gz

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Gzip Archive - 106.2 MB -

Compressed folder of experimental results generated by run_evaluation.py.

data.tar.gz

Aug 24, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]

Gzip Archive - 1011.3 MB -

Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.

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