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regression

Papers

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Showing 1551–1600 of 9424 papers

TitleStatusHype
Target-agnostic Source-free Domain Adaptation for Regression Tasks—0
Global Convergence of Online Identification for Mixed Linear Regression—0
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction—0
Union-over-Intersections: Object Detection beyond Winner-Takes-AllCode0
Extrapolating Away from the Cutoff in Regression Discontinuity Designs—0
A Bag of Receptive Fields for Time Series Extrinsic Predictions—0
A natural language processing-based approach: mapping human perception by understanding deep semantic features in street view images—0
LGFCTR: Local and Global Feature Convolutional Transformer for Image MatchingCode1
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization—0
Spatially Adaptive Cloth Regression with Implicit Neural Representations—0
(Frisch-Waugh-Lovell)': On the Estimation of Regression Models by Row—0
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles—0
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction—0
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift—0
Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression—0
X-Ray to CT Rigid Registration Using Scene Coordinate RegressionCode1
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters—0
Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression—0
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory—0
Analysis of the expected L_2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization—0
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive ImagingCode1
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculusCode0
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression—0
Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression—0
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms—0
Comparative Analysis of Linear Regression, Gaussian Elimination, and LU Decomposition for CT Real Estate Purchase Decisions—0
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selectionCode0
Piecewise Polynomial Regression of Tame Functions via Integer Programming—0
Regressions under Adverse Conditions—0
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies—0
Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis—0
The limitation of neural nets for approximation and optimizationCode0
Machine-Guided Discovery of a Real-World Rogue Wave ModelCode1
Classifier Calibration with ROC-Regularized Isotonic Regression—0
Predictive Density Combination Using a Tree-Based Synthesis Function—0
Eliminating Quantization Errors in Classification-Based Sound Source LocalizationCode0
Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies—0
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizationsCode0
Incorporating LLM Priors into Tabular Learners—0
Non-Contact NIR PPG Sensing through Large Sequence Signal Regression—0
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIsCode0
BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and ElectrocardiogramCode0
Flat Minima in Linear Estimation and an Extended Gauss Markov TheoremCode0
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension—0
Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition—0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
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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