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regression

Papers

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Showing 6101–6150 of 9424 papers

TitleStatusHype
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving—0
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms—0
Lexical and Hierarchical Topic Regression—0
Lexical Simplification with Neural Ranking—0
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation—0
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction—0
Liability-side Pricing of Swaps and Coherent CVA and FVA by Regression/Simulation—0
Library Learning for Neurally-Guided Bayesian Program Induction—0
Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups—0
Life Regression based Patch Slimming for Vision Transformers—0
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison—0
Lifted Regression/Reconstruction Networks—0
Lifting Imbalanced Regression with Self-Supervised Learning—0
Light Direction and Color Estimation from Single Image with Deep Regression—0
Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships—0
Likelihood Adaptively Modified Penalties—0
Likelihood-Free Gaussian Process for Regression—0
Likelihood-ratio calibration using prior-weighted proper scoring rules—0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Limit Theorems for Stochastic Gradient Descent with Infinite Variance—0
Limit Theory under Network Dependence and Nonstationarity—0
Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions—0
Linear Contour Learning: A Method for Supervised Dimension Reduction—0
Linear convergence of SDCA in statistical estimation—0
Interpretable Few-Shot Learning via Linear Distillation—0
Linear Hypothesis Testing in Dense High-Dimensional Linear Models—0
Linear Inverse Problems with Norm and Sparsity Constraints—0
Linearised Laplace Inference in Networks with Normalisation Layers and the Neural g-Prior—0
Linearized Binary Regression—0
Linearized two-layers neural networks in high dimension—0
Linearly Constrained Gaussian Processes with Boundary Conditions—0
Linearly-involved Moreau-Enhanced-over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression—0
Linear Matrix Inequality Approaches to Koopman Operator Approximation—0
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series—0
Linear Panel Regressions with Two-Way Unobserved Heterogeneity—0
Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs—0
Linear regression analysis of template aging in iris biometrics—0
Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R—0
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions—0
Linear Regression over Networks with Communication Guarantees—0
Linear Regression using Heterogeneous Data Batches—0
Linear Regression with an Unknown Permutation: Statistical and Computational Limits—0
Linear Regression with Centrality Measures—0
Linear Regression with Distributed Learning: A Generalization Error Perspective—0
Linear regression without correspondence—0
Linear regression with partially mismatched data: local search with theoretical guarantees—0
Linear Regression with Shuffled Labels—0
Linear Regression with Sparsely Permuted Data—0
Linear Regression with Weak Exogeneity—0
Linear Rescaling to Accurately Interpret Logarithms—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