SOTAVerified

regression

Papers

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Showing 5501–5550 of 9424 papers

TitleStatusHype
How isotropic kernels perform on simple invariants—0
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings—0
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?—0
How many Neurons do we need? A refined Analysis for Shallow Networks trained with Gradient Descent—0
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?—0
On the number of variables to use in principal component regression—0
How Much Can A Retailer Sell? Sales Forecasting on Tmall—0
How Much Weak Overlap Can Doubly Robust T-Statistics Handle?—0
How priors of initial hyperparameters affect Gaussian process regression models—0
How Private is Your Attention? Bridging Privacy with In-Context Learning—0
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?—0
How to get the most out of Twinned Regression Methods—0
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression—0
How Well Can Transformers Emulate In-context Newton's Method?—0
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer—0
HuaAMS at SemEval-2022 Task 8: Combining Translation and Domain Pre-training for Cross-lingual News Article Similarity—0
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense—0
Human Guided Learning of Transparent Regression Models—0
HumorAAC at SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines through Regression and Trump Mentions—0
HW-TSC at SemEval-2022 Task 7: Ensemble Model Based on Pretrained Models for Identifying Plausible Clarifications—0
Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on Wi-Fi Fingerprinting—0
Hybrid Censored Quantile Regression Forest to Assess the Heterogeneous Effects—0
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection—0
Hybrid deep additive neural networks—0
Hybrid eye center localization using cascaded regression and hand-crafted model fitting—0
Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems—0
Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time—0
Hybrid model for Single-Stage Multi-Person Pose Estimation—0
Hybrid quantile estimation for asymmetric power GARCH models—0
Hybrid threats as an exogenous economic shock—0
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning—0
Hydranet: Data Augmentation for Regression Neural Networks—0
Hyperbolic Manifold Regression—0
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models—0
Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production—0
Hyperlink Regression via Bregman Divergence—0
HyperLoRA for PDEs—0
Hyper-parameter estimation method with particle swarm optimization—0
Towards Robust Deep Active Learning for Scientific Computing—0
HyperPose: Camera Pose Localization using Attention Hypernetworks—0
HyperPose: Hypernetwork-Infused Camera Pose Localization and an Extended Cambridge Landmarks Dataset—0
HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing—0
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies—0
Hyperspectral Imaging for cherry tomato—0
Hyperspectral Unmixing using Iterative, Sparse and Ensambling Approaches for Large Spectral Libraries Applied to Soils and Minerals—0
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood—0
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory—0
Identifying Wisdom (of the Crowd): A Regression Approach—0
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms—0
IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News—0
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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