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regression

Papers

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Showing 5651–5700 of 9424 papers

TitleStatusHype
Salient Region Segmentation—0
SALVE: Self-supervised Adaptive Low-light Video Enhancement—0
Sample complexity and effective dimension for regression on manifolds—0
Sample Complexity of the Sign-Perturbed Sums Method—0
Sample Compression for Real-Valued Learners—0
Sample-Efficient Linear Regression with Self-Selection Bias—0
Sample Efficient Robot Learning in Supervised Effect Prediction Tasks—0
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning—0
Sample-Optimal Private Regression in Polynomial Time—0
Sample path generation of the stochastic volatility CGMY process and its application to path-dependent option pricing—0
Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications—0
Sampling constrained probability distributions using Spherical Augmentation—0
Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning—0
Sandbox Sample Classification Using Behavioral Indicators of Compromise—0
SATLab at SemEval-2022 Task 4: Trying to Detect Patronizing and Condescending Language with only Character and Word N-grams—0
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules—0
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems—0
Scalable Approximations for Generalized Linear Problems—0
Scalable Bayesian Network Structure Learning with Splines—0
Scalable Bid Landscape Forecasting in Real-time Bidding—0
Scalable computation of prediction intervals for neural networks via matrix sketching—0
Scalable Cross Validation Losses for Gaussian Process Models—0
Scalable Estimation for Structured Additive Distributional Regression—0
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees—0
Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase—0
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data—0
Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring—0
Scalable Hyperparameter Transfer Learning—0
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods—0
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality—0
Scalable Membership Inference Attacks via Quantile Regression—0
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization—0
Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities—0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression—0
Scalable Signature-Based Distribution Regression via Reference Sets—0
Scalable Sparse Subspace Clustering via Ordered Weighted _1 Regression—0
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression—0
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression—0
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference—0
Scalar vs. mereological conceptualizations of the N-BY-N and NUM-BY-NUM adverbials—0
Scale-Adaptive Convolutions for Scene Parsing—0
Scale calibration for high-dimensional robust regression—0
Scale-free Unconstrained Online Learning for Curved Losses—0
Scale invariant process regression: Towards Bayesian ML with minimal assumptions—0
Scale Selection of Adaptive Kernel Regression by Joint Saliency Map for Nonrigid Image Registration—0
Scaling Gaussian Processes with Derivative Information Using Variational Inference—0
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression—0
Scaling Laws in Linear Regression: Compute, Parameters, and Data—0
Scaling the weight parameters in Markov logic networks and relational logistic regression models—0
Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions—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