task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Tabular Data Generation | Travel | CTGAN | https://arxiv.org/abs/1907.00503v2 | DT Accuracy | 73.3 |
Tabular Data Generation | Travel | CTGAN | https://arxiv.org/abs/1907.00503v2 | RF Accuracy | 71.41 |
Tabular Data Generation | Travel | CTGAN | https://arxiv.org/abs/1907.00503v2 | Parameters(M) | 0.155 |
Tabular Data Generation | Diabetes | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | LR Accuracy | 0.5775 |
Tabular Data Generation | Diabetes | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | DT Accuracy | 0.5713 |
Tabular Data Generation | Diabetes | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | RF Accuracy | 0.5752 |
Tabular Data Generation | Diabetes | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | Parameters(M) | 1.8 |
Tabular Data Generation | Diabetes | GReaT | https://arxiv.org/abs/2210.06280v2 | LR Accuracy | 0.5734 |
Tabular Data Generation | Diabetes | GReaT | https://arxiv.org/abs/2210.06280v2 | DT Accuracy | 0.5523 |
Tabular Data Generation | Diabetes | GReaT | https://arxiv.org/abs/2210.06280v2 | RF Accuracy | 0.5834 |
Tabular Data Generation | Diabetes | GReaT | https://arxiv.org/abs/2210.06280v2 | Parameters(M) | 355 |
Tabular Data Generation | Diabetes | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | LR Accuracy | 0.5733 |
Tabular Data Generation | Diabetes | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | DT Accuracy | 0.541 |
Tabular Data Generation | Diabetes | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | RF Accuracy | 0.5803 |
Tabular Data Generation | Diabetes | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | Parameters(M) | 82 |
Tabular Data Generation | Diabetes | TVAE | https://arxiv.org/abs/1907.00503v2 | LR Accuracy | 0.5634 |
Tabular Data Generation | Diabetes | TVAE | https://arxiv.org/abs/1907.00503v2 | DT Accuracy | 0.5330 |
Tabular Data Generation | Diabetes | TVAE | https://arxiv.org/abs/1907.00503v2 | RF Accuracy | 0.5517 |
Tabular Data Generation | Diabetes | TVAE | https://arxiv.org/abs/1907.00503v2 | Parameters(M) | 0.359 |
Tabular Data Generation | Diabetes | CTGAN | https://arxiv.org/abs/1907.00503v2 | LR Accuracy | 0.5093 |
Tabular Data Generation | Diabetes | CTGAN | https://arxiv.org/abs/1907.00503v2 | DT Accuracy | 0.4973 |
Tabular Data Generation | Diabetes | CTGAN | https://arxiv.org/abs/1907.00503v2 | RF Accuracy | 0.5223 |
Tabular Data Generation | Diabetes | CTGAN | https://arxiv.org/abs/1907.00503v2 | Parameters(M) | 9.6 |
Tabular Data Generation | Diabetes | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | LR Accuracy | 0.4027 |
Tabular Data Generation | Diabetes | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | DT Accuracy | 0.385 |
Tabular Data Generation | Diabetes | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | RF Accuracy | 0.3759 |
Tabular Data Generation | Diabetes | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | Parameters(M) | 9.4 |
Tabular Data Generation | Adult Census Income | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | LR Accuracy | 85.45 |
Tabular Data Generation | Adult Census Income | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | DT Accuracy | 85.27 |
Tabular Data Generation | Adult Census Income | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | RF Accuracy | 85.74 |
Tabular Data Generation | Adult Census Income | Binary Diffusion | https://arxiv.org/abs/2409.13882v2 | Parameters(M) | 1.4 |
Tabular Data Generation | Adult Census Income | GReaT | https://arxiv.org/abs/2210.06280v2 | LR Accuracy | 84.77 |
Tabular Data Generation | Adult Census Income | GReaT | https://arxiv.org/abs/2210.06280v2 | DT Accuracy | 84.81 |
Tabular Data Generation | Adult Census Income | GReaT | https://arxiv.org/abs/2210.06280v2 | RF Accuracy | 85.42 |
Tabular Data Generation | Adult Census Income | GReaT | https://arxiv.org/abs/2210.06280v2 | Parameters(M) | 355 |
Tabular Data Generation | Adult Census Income | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | LR Accuracy | 84.65 |
Tabular Data Generation | Adult Census Income | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | DT Accuracy | 84.49 |
Tabular Data Generation | Adult Census Income | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | RF Accuracy | 85.25 |
Tabular Data Generation | Adult Census Income | Distill-GReaT | https://arxiv.org/abs/2210.06280v2 | Parameters(M) | 82 |
Tabular Data Generation | Adult Census Income | TVAE | https://arxiv.org/abs/1907.00503v2 | LR Accuracy | 80.53 |
Tabular Data Generation | Adult Census Income | TVAE | https://arxiv.org/abs/1907.00503v2 | DT Accuracy | 82.8 |
Tabular Data Generation | Adult Census Income | TVAE | https://arxiv.org/abs/1907.00503v2 | RF Accuracy | 83.48 |
Tabular Data Generation | Adult Census Income | TVAE | https://arxiv.org/abs/1907.00503v2 | Parameters(M) | 0.053 |
Tabular Data Generation | Adult Census Income | CTGAN | https://arxiv.org/abs/1907.00503v2 | LR Accuracy | 83.2 |
Tabular Data Generation | Adult Census Income | CTGAN | https://arxiv.org/abs/1907.00503v2 | DT Accuracy | 81.32 |
Tabular Data Generation | Adult Census Income | CTGAN | https://arxiv.org/abs/1907.00503v2 | RF Accuracy | 83.53 |
Tabular Data Generation | Adult Census Income | CTGAN | https://arxiv.org/abs/1907.00503v2 | Parameters(M) | 0.302 |
Tabular Data Generation | Adult Census Income | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | LR Accuracy | 80.61 |
Tabular Data Generation | Adult Census Income | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | DT Accuracy | 76.29 |
Tabular Data Generation | Adult Census Income | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | RF Accuracy | 80.46 |
Tabular Data Generation | Adult Census Income | CopulaGAN | https://arxiv.org/abs/1907.00503v2 | Parameters(M) | 0.300 |
MRI segmentation > Brain Tumor Classification | Brain Tumor MRI Dataset | Extra-tree | http://dx.doi.org/10.1016/j.jcmds.2024.100103 | 1:1 Accuracy | 97.28 |
Cancer Classification | Multi-omics mRNA, miRNA, and DNA Methylation Dataset | LASSO-MOGAT | https://arxiv.org/abs/2410.05325v1 | 1:1 Accuracy | 95.90 |
Cancer Classification | Multi-omics mRNA, miRNA, and DNA Methylation Dataset | LASSO-MOGAT | https://arxiv.org/abs/2408.17384v1 | 1:1 Accuracy | 94.68 |
AI Agent > N-Queens Problem - All Possible Solutions | . | Non-Recursive Blind Approach by Ghosh et al | https://doi.org/10.1007/978-981-99-0550-8_27 | Delay (seconds) | 41 for N=14 Queens |
1 Image, 2*2 Stitching > Image-to-Image Translation | BRATS | ResViT | https://arxiv.org/abs/2106.16031v3 | PSNR | 26.90 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | DP-SIMS (ConvNext-XL) | https://arxiv.org/abs/2312.13314v2 | FID | 13.3 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | DP-SIMS (ConvNext-L) | https://arxiv.org/abs/2312.13314v2 | FID | 13.6 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | SCDM | https://arxiv.org/abs/2402.16506v3 | mIoU | 38.1 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | SCDM | https://arxiv.org/abs/2402.16506v3 | FID | 15.3 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | SCDM | https://arxiv.org/abs/2402.16506v3 | LPIPS | 0.519 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | PITI | https://arxiv.org/abs/2205.12952v1 | FID | 15.6 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | PoE-GAN | https://arxiv.org/abs/2112.05130v1 | FID | 15.8 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | OASIS | https://arxiv.org/abs/2012.04781v3 | mIoU | 44.1 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | OASIS | https://arxiv.org/abs/2012.04781v3 | FID | 17.0 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CC-FPSE-AUG | https://arxiv.org/abs/2011.12636v3 | mIoU | 42.1 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CC-FPSE-AUG | https://arxiv.org/abs/2011.12636v3 | Accuracy | 71.5 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CC-FPSE-AUG | https://arxiv.org/abs/2011.12636v3 | FID | 19.1 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CC-FPSE | https://arxiv.org/abs/1910.06809v3 | mIoU | 41.6 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CC-FPSE | https://arxiv.org/abs/1910.06809v3 | Accuracy | 70.7% |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CC-FPSE | https://arxiv.org/abs/1910.06809v3 | FID | 19.2 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | VQGAN+Transformer | https://arxiv.org/abs/2012.09841v3 | FID | 22.4 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | SPADE | https://arxiv.org/abs/1903.07291v2 | mIoU | 37.4 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | SPADE | https://arxiv.org/abs/1903.07291v2 | Accuracy | 67.9% |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | SPADE | https://arxiv.org/abs/1903.07291v2 | FID | 22.6 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | USIS | https://arxiv.org/abs/2109.14715v1 | mIoU | 14.06 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | USIS | https://arxiv.org/abs/2109.14715v1 | FID | 27.8 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | USIS-Wavelet | https://arxiv.org/abs/2305.09647v1 | mIoU | 13.4 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | USIS-Wavelet | https://arxiv.org/abs/2305.09647v1 | FID | 28.6 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | Pix2PixHD-AUG | https://arxiv.org/abs/2011.12636v3 | mIoU | 21.9 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | Pix2PixHD-AUG | https://arxiv.org/abs/2011.12636v3 | Accuracy | 54.1 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | Pix2PixHD-AUG | https://arxiv.org/abs/2011.12636v3 | FID | 54.2 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CRN | http://arxiv.org/abs/1707.09405v1 | mIoU | 23.7 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CRN | http://arxiv.org/abs/1707.09405v1 | Accuracy | 40.4% |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | CRN | http://arxiv.org/abs/1707.09405v1 | FID | 70.4 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | pix2pixHD | http://arxiv.org/abs/1711.11585v2 | mIoU | 14.6 |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | pix2pixHD | http://arxiv.org/abs/1711.11585v2 | Accuracy | 45.8% |
1 Image, 2*2 Stitching > Image-to-Image Translation | COCO-Stuff Labels-to-Photos | pix2pixHD | http://arxiv.org/abs/1711.11585v2 | FID | 111.5 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | StarGAN v2 | https://arxiv.org/abs/1912.01865v2 | FID | 13.73 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | StarGAN v2 | https://arxiv.org/abs/1912.01865v2 | LPIPS | 0.428 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | CoCosNet | https://arxiv.org/abs/2004.05571v1 | FID | 14.3 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | PHStarGANv2 n=4 | https://arxiv.org/abs/2205.02087v1 | FID | 16.54 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | PHStarGANv2 n=4 | https://arxiv.org/abs/2205.02087v1 | LPIPS | 0.29 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | PHStarGANv2 n=3 | https://arxiv.org/abs/2205.02087v1 | FID | 16.63 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | PHStarGANv2 n=3 | https://arxiv.org/abs/2205.02087v1 | LPIPS | 0.33 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | PonoSPadaIN | https://arxiv.org/abs/2107.11262v1 | FID | 23.8 |
1 Image, 2*2 Stitching > Image-to-Image Translation | CelebA-HQ | EGSDE | https://arxiv.org/abs/2207.06635v5 | FID | 30.61 |
1 Image, 2*2 Stitching > Image-to-Image Translation | dog2cat | U-GAT-IT | https://arxiv.org/abs/1907.10830v4 | Kernel Inception Distance | 8.15 |
1 Image, 2*2 Stitching > Image-to-Image Translation | Aerial-to-Map | cGAN | http://arxiv.org/abs/1611.07004v3 | Per-pixel Accuracy | 70.0% |
1 Image, 2*2 Stitching > Image-to-Image Translation | Aerial-to-Map | cGAN | http://arxiv.org/abs/1611.07004v3 | Per-class Accuracy | 46.0% |
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