SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6551–6600 of 9424 papers

TitleStatusHype
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm—0
Towards Practical Robustness Auditing for Linear Regression—0
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task—0
Towards Regression-Free Neural Networks for Diverse Compute Platforms—0
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution—0
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression—0
Towards simple time-to-event modeling: optimizing neural networks via rank regression—0
Towards Speaker Age Estimation with Label Distribution Learning—0
Towards Uncertainties in Deep Learning that Are Accurate and Calibrated—0
Towards Understanding Epoch-wise Double descent in Two-layer Linear Neural Networks—0
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer—0
Towards Unsupervised Single-Channel Blind Source Separation using Adversarial Pair Unmix-and-Remix—0
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation—0
Toward the Fully Physics-Informed Echo State Network -- an ODE Approximator Based on Recurrent Artificial Neurons—0
A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics—0
TPE-Net: Track Point Extraction and Association Network for Rail Path Proposal Generation—0
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance—0
Trade Openness, Tariffs and Economic Growth: An Empirical Study from Countries of G-20—0
Traditional Machine Learning for Pitch Detection—0
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data—0
Trained Transformers Learn Linear Models In-Context—0
Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming—0
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate—0
Training L1-Regularized Models with Orthant-Wise Passive Descent Algorithms—0
Training (Overparametrized) Neural Networks in Near-Linear Time—0
Training speech emotion classifier without categorical annotations—0
Trajectory-based Algorithm Selection with Warm-starting—0
Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning—0
Transductive Multi-label Zero-shot Learning—0
Transfer Learning for Causal Effect Estimation—0
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression—0
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift—0
Transfer Learning for Linear Regression: a Statistical Test of Gain—0
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure—0
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values—0
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification—0
Transfer Learning Under High-Dimensional Network Convolutional Regression Model—0
Transfer Learning Using Logistic Regression in Credit Scoring—0
Estimation and inference for transfer learning with high-dimensional quantile regression—0
Transfer Learning with Random Coefficient Ridge Regression—0
Transfer Regression via Pairwise Similarity Regularization—0
Transferring model structure in Bayesian transfer learning for Gaussian process regression—0
Transformation Forests—0
Transformer Models for Drug Adverse Effects Detection from Tweets—0
Transformer Networks for Predictive Group Elevator Control—0
Transformer Neural Processes -- Kernel Regression—0
Transformers can optimally learn regression mixture models—0
Transformer Semantic Genetic Programming for Symbolic Regression—0
Transformers Handle Endogeneity in In-Context Linear Regression—0
Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach—0
Show:102550
← PrevPage 132 of 189Next →
All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified