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regression

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Showing 2401–2450 of 9424 papers

TitleStatusHype
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension—0
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression—0
Automatic microscopic cell counting by use of deeply-supervised density regression model—0
Dimension Independent Generalization Error by Stochastic Gradient Descent—0
Delving Deeper into MOOC Student Dropout Prediction—0
Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery—0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets—0
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID—0
Demographic parity in regression and classification within the unawareness framework—0
Automatic Response Category Combination in Multinomial Logistic Regression—0
Demystifying Deep Learning: A Geometric Approach to Iterative Projections—0
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation—0
Denoising Linear Models with Permuted Data—0
A Model of Double Descent for High-dimensional Binary Linear Classification—0
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings—0
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization—0
Dense Contrastive Visual-Linguistic Pretraining—0
Dimension Reduction for Fréchet Regression—0
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations—0
Morphological Network: How Far Can We Go with Morphological Neurons?—0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—0
Density-Calibrated Conformal Quantile Regression—0
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization—0
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning—0
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks—0
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling—0
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression—0
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs—0
Depth Completion using Plane-Residual Representation—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Depth sweep regression forests for estimating 3d human pose from images—0
Direct Advantage Regression: Aligning LLMs with Online AI Reward—0
Derivative-Based Mir Spectroscopy for Blood Glucose Estimation Using Pca-Driven Regression Models—0
Derivative-based regularization for regression—0
Derivative Estimation in Random Design—0
Deriving Neural Architectures from Sequence and Graph Kernels—0
Designating market maker behaviour in Limit Order Book markets—0
Designing Discontinuities—0
Design of a Time Delay Reservoir Using Stochastic Logic: A Feasibility Study—0
Design of Cavity Backed Slotted Antenna using Machine Learning Regression Model—0
Convolutional Ordinal Regression Forest for Image Ordinal Estimation—0
DESTR: Object Detection With Split Transformer—0
Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression—0
A maximum principle argument for the uniform convergence of graph Laplacian regressors—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