Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Distill-GReaT

Distill-GReaT

Reported on 24 benchmarks across 1 task · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous24 results

Tabular Data GenerationonHELOC
DT Accuracy· 2022-10-12
81.4
SOTA
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonHELOC
RF Accuracy· 2022-10-12
82.14
SOTA
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonCalifornia Housing Prices
DT Mean Squared Error· 2022-10-12
0.43
best: 0.39 (GReaT)
SOTA
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonCalifornia Housing Prices
LR Mean Squared Error· 2022-10-12
0.57
best: 0.34 (GReaT)
SOTA
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonCalifornia Housing Prices
RF Mean Squared Error· 2022-10-12
0.32
best: 0.28 (GReaT)
SOTA
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonSICK
DT Accuracy· 2022-10-12
95.39
best: 97.72 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonSICK
LR Accuracy· 2022-10-12
96.56
best: 97.72 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonSICK
Parameters(M)· 2022-10-12
82
best: 355 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonSICK
RF Accuracy· 2022-10-12
97.72
best: 98.3 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonHELOC
LR Accuracy· 2022-10-12
70.58
best: 71.9 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonHELOC
Parameters(M)· 2022-10-12
82
best: 355 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonCalifornia Housing Prices
Parameters(M)· 2022-10-12
82
best: 355 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonTravel
DT Accuracy· 2022-10-12
77.38
best: 88.9 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonTravel
LR Accuracy· 2022-10-12
78.53
best: 83.79 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonTravel
Parameters(M)· 2022-10-12
82
best: 355 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonTravel
RF Accuracy· 2022-10-12
79.5
best: 89.95 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonDiabetes
DT Accuracy· 2022-10-12
0.541
best: 0.5713 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonDiabetes
LR Accuracy· 2022-10-12
0.5733
best: 0.5775 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonDiabetes
Parameters(M)· 2022-10-12
82
best: 355 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonDiabetes
RF Accuracy· 2022-10-12
0.5803
best: 0.5834 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonAdult Census Income
DT Accuracy· 2022-10-12
84.49
best: 85.27 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonAdult Census Income
LR Accuracy· 2022-10-12
84.65
best: 85.45 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonAdult Census Income
Parameters(M)· 2022-10-12
82
best: 355 (GReaT)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280
Tabular Data GenerationonAdult Census Income
RF Accuracy· 2022-10-12
85.25
best: 85.74 (Binary Diffusion)
Language Models are Realistic Tabular Data Generators arXiv:2210.06280