SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2751–2800 of 9424 papers

TitleStatusHype
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems—0
Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression—0
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning—0
Best Subset Selection via a Modern Optimization Lens—0
DR2S : Deep Regression with Region Selection for Camera Quality Evaluation—0
Beta quantile regression for robust estimation of uncertainty in the presence of outliers—0
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression—0
Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis—0
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)—0
Detecting Multiple Structural Breaks in Systems of Linear Regression Equations with Integrated and Stationary Regressors—0
Efficiently Using Second Order Information in Large l1 Regularization Problems—0
Dropout Drops Double Descent—0
Dropout Regularization Versus _2-Penalization in the Linear Model—0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach—0
Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup—0
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning—0
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images—0
A Universal Approximation Theorem for Mixture of Experts Models—0
Dual Grid Net: hand mesh vertex regression from single depth maps—0
Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots—0
An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation—0
Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression—0
Beyond Beats: A Recipe to Song Popularity? A machine learning approach—0
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption—0
Dual Path Networks for Multi-Person Human Pose Estimation—0
A Distributed Lag Approach to the Generalised Dynamic Factor Model (GDFM)—0
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation—0
Deep-LK for Efficient Adaptive Object Tracking—0
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles—0
DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?—0
Dyadic Regression—0
Dyadic Regression with Sample Selection—0
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference—0
Adaptive Online Estimation of Piecewise Polynomial Trends—0
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting—0
A Distributionally Robust Approach to Fair Classification—0
A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area—0
Achieving greater Explanatory Power and Forecasting Accuracy with Non-uniform spread Fuzzy Linear Regression—0
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling—0
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes—0
Beyond Ridge Regression for Distribution-Free Data—0
Histogram Transform Ensembles for Large-scale Regression—0
An Efficient Pseudo-likelihood Method for Sparse Binary Pairwise Markov Network Estimation—0
Dynamic optimization of volatile fatty acids to enrich biohydrogen production using a deep learning neural network—0
Dynamic Ordered Panel Logit Models—0
Dynamic programming for optimal stopping via pseudo-regression—0
Deep Limit Model-free Prediction in Regression—0
Show:102550
← PrevPage 56 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