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regression

Papers

Showing 201225 of 9424 papers

TitleStatusHype
ConR: Contrastive Regularizer for Deep Imbalanced RegressionCode1
Nonlinear Granger Causality using Kernel Ridge RegressionCode1
Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State DevelopmentCode1
BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye ViewCode1
Mask-Attention-Free Transformer for 3D Instance SegmentationCode1
Calibrated Explanations for RegressionCode1
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion RecognitionCode1
Tensor RegressionCode1
A hybrid Decoder-DeepONet operator regression framework for unaligned observation dataCode1
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price PredictionCode1
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between NationsCode1
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise RegressionCode1
LCE: An Augmented Combination of Bagging and Boosting in PythonCode1
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG DataCode1
Explainable Equivariant Neural Networks for Particle Physics: PELICANCode1
EFLNet: Enhancing Feature Learning for Infrared Small Target DetectionCode1
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM ArchitectureCode1
GBT: Two-stage transformer framework for non-stationary time series forecastingCode1
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and InterpretabilityCode1
Engression: Extrapolation through the Lens of Distributional RegressionCode1
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regressionCode1
Estimating the Uncertainty in Emotion Attributes using Deep Evidential RegressionCode1
Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting ApproachCode1
Estimating Koopman operators with sketching to provably learn large scale dynamical systemsCode1
A Large-Scale Study of Probabilistic Calibration in Neural Network RegressionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79Unverified
2Baseline RegressionR2 Score0.58Unverified
3Mimic / SurrogateR2 Score0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86Unverified
2Baseline RegressionR2 Score0.59Unverified
3Mimic / SurrogateR2 Score0.58Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87Unverified
2Baseline RegressionR2 Score0.78Unverified
3Mimic / SurrogateR2 Score0.78Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98Unverified
2Baseline RegressionR2 Score-0.01Unverified
3Mimic / SurrogateR2 Score-0.01Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93Unverified
2RF-ToxPrintchemical macro-average RMSE0.85Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84Unverified