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Tabular & Time Series AI research – Page 5 · SOTA2 Research
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Research domain
Tabular & Time Series
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37 benchmarks · 17 papers
Next-item prediction
37 benchmarks · 20 papers
Top-K Recommendation
37 benchmarks · 22 papers
Incremental Learning
37 benchmarks · 11 papers
Two-sample testing
37 benchmarks · 12 papers
Auto-bidding
37 benchmarks · 21 papers
Univariate Time Series Forecasting
36 benchmarks · 8 papers
Synthetic Tabular Data Generation
36 benchmarks · 13 papers
Industrial Anomaly Detection
36 benchmarks · 12 papers
Logistic Regression
36 benchmarks · 41 papers
Short-term forecasting
35 benchmarks · 6 papers
Multivariate Regression
35 benchmarks · 2 papers
Streamflow Prediction
35 benchmarks · 12 papers
Disease prediction
35 benchmarks · 6 papers
Prediction Interval Estimation
35 benchmarks · 6 papers
Column Type Annotation
35 benchmarks · 36 papers
In-hospital mortality prediction
34 benchmarks · 10 papers
Log Anomaly Detection
34 benchmarks · 29 papers
Multivariate long-term time series forecasting
34 benchmarks · 8 papers
Extreme Multi-label Classification
33 benchmarks · 12 papers
Average Treatment Effect Estimation
33 benchmarks · 2 papers
Multi-Target Regression
33 benchmarks · 44 papers
5-way Few-shot Classification
33 benchmarks · 4 papers
Data Stream Classification
33 benchmarks · 18 papers
Session-based recommendation
32 benchmarks · 5 papers
Contextual Bandit
32 benchmarks · 30 papers
Model Calibration
32 benchmarks · 1 papers
Decision Tree Rashomon Set construction
32 benchmarks · 7 papers
Exemplar-Free Class-Incremental Learning
32 benchmarks · 3 papers
SOH estimation
32 benchmarks · 10 papers
Spatiotemporal forecasting
32 benchmarks · 17 papers
Alzheimer's disease classification
32 benchmarks · 12 papers
KNN Classification
Page 5 of 210
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