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regression

Papers

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Showing 9001–9050 of 9424 papers

TitleStatusHype
TSK-Streams: Learning TSK Fuzzy Systems on Data StreamsCode0
Implicit Regularization for Group SparsityCode0
MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity PredictionCode0
MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property RetrievalCode0
Implicit Sparse Regularization: The Impact of Depth and Early StoppingCode0
Performance of regression models as a function of experiment noiseCode0
MTLComb: multi-task learning combining regression and classification tasks for joint feature selectionCode0
Tensor Network Kalman Filtering for Large-Scale LS-SVMsCode0
Muffled Semi-Supervised LearningCode0
Determination of toxic comments and unintended model bias minimization using Deep learning approachCode0
S-BDT: Distributed Differentially Private Boosted Decision TreesCode0
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech SeparationCode0
Statistical Selection of CNN-Based Audiovisual Features for Instantaneous Estimation of Human Emotional StatesCode0
Regularization properties of adversarially-trained linear regressionCode0
A physics-informed operator regression framework for extracting data-driven continuum modelsCode0
Walking fingerprintingCode0
Determinantal Point Processes for CoresetsCode0
Personalized Differential Privacy for Ridge RegressionCode0
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease ProgressionCode0
Closed-Form Interpretation of Neural Network Classifiers with Symbolic GradientsCode0
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selectionCode0
A First-Order Algorithmic Framework for Distributionally Robust Logistic RegressionCode0
Shape-Aware Complementary-Task Learning for Multi-Organ SegmentationCode0
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark RegressionCode0
Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General BrighamCode0
Improved learning theory for kernel distribution regression with two-stage samplingCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their InterplayCode0
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic RegressionCode0
A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady StateCode0
CLDR: Contrastive Learning Drug Response Models from Natural Language SupervisionCode0
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex ObjectivesCode0
Adapting multi-armed bandits policies to contextual bandits scenariosCode0
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
A path algorithm for the Fused Lasso Signal ApproximatorCode0
Improve Machine Learning carbon footprint using Parquet dataset format and Mixed Precision training for regression models -- Part IICode0
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learningCode0
Classification with Strategically Withheld DataCode0
A feature selection method based on Shapley values robust to concept shift in regressionCode0
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and CoresetsCode0
Bolasso: model consistent Lasso estimation through the bootstrapCode0
PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disksCode0
Improving Clinical Efficiency and Reducing Medical Errors through NLP-enabled diagnosis of Health Conditions from Transcription ReportsCode0
Detecting Errors in a Numerical Response via any Regression ModelCode0
Dependent relevance determination for smooth and structured sparse regressionCode0
Improving Deep Regression with TightnessCode0
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution ShiftsCode0
Shapley Based Residual Decomposition for Instance AnalysisCode0
Densely connected neural networks for nonlinear regressionCode0
Improving Genetic Programming for Symbolic Regression with Equality GraphsCode0
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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