benchmark datasets
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
benchmark datasets 30% Missing (test)
75Accuracy
25
30 benchmark datasets Regular (test)
76.7Accuracy
25
34 benchmark datasets aggregate (test)
0.113Cost per Example
20
Six Benchmark Datasets Overall
73.3Average Accuracy
19
Ten Benchmark Datasets MRPC, QQP, STS-B, MNLI, QNLI, RTE, SNLI, Sci, SICK, Twi
90.2MRPC Accuracy
18
39 Benchmark Datasets
0p-value
18
122 benchmark datasets
0.015Normalized Quantile Loss
10
Average of 10 benchmark datasets
81.31Base Accuracy
10
27 benchmark datasets
75.7MD Metric
8
19 benchmark datasets
81.5Max ALL-RRS Score
7
30 benchmark datasets Pairwise Comparison (test)
114Win Count (vs Neural ODE, TANDEM)
4
Benchmark Datasets
15.41Tau (Train, 100)
4
30 benchmark datasets 70% Missing (test)
70.9Accuracy
2
30 benchmark datasets All settings (test)
74.2Accuracy
1
119 benchmark datasets
—Primary metric
0
7 Benchmark Datasets
—Primary metric
0