felixleungsc/paperswithcode-data-evaluation-tables

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%

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