| AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification | Sep 29, 2023 | parameter estimationregression | CodeCode Available | 1 | 5 |
| Bayesian Additive Regression Networks | Apr 5, 2024 | regression | CodeCode Available | 1 | 5 |
| GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance | Apr 2, 2025 | regressionSuper-Resolution | CodeCode Available | 1 | 5 |
| Hand PointNet: 3D Hand Pose Estimation Using Point Sets | Jun 1, 2018 | 3D Hand Pose EstimationHand Pose Estimation | CodeCode Available | 1 | 5 |
| Bayesian Graph Neural Networks for Molecular Property Prediction | Nov 25, 2020 | Molecular Property PredictionPrediction | CodeCode Available | 1 | 5 |
| Bayesian inference for logistic models using Polya-Gamma latent variables | May 2, 2012 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 | 5 |
| Distributional Correlation--Aware Knowledge Distillation for Stock Trading Volume Prediction | Aug 4, 2022 | Knowledge DistillationPrediction | CodeCode Available | 1 | 5 |
| Bayesian Optimization of Catalysis With In-Context Learning | Apr 11, 2023 | Bayesian OptimizationFeature Engineering | CodeCode Available | 1 | 5 |
| Hierarchical Regression Network for Spectral Reconstruction from RGB Images | May 10, 2020 | Decoderregression | CodeCode Available | 1 | 5 |
| High-Speed Tracking with Kernelized Correlation Filters | Apr 30, 2014 | regressionVideo Object Tracking | CodeCode Available | 1 | 5 |
| An information criterion for automatic gradient tree boosting | Aug 13, 2020 | Model Selectionregression | CodeCode Available | 1 | 5 |
| Bayesian Variable Selection in a Million Dimensions | Aug 2, 2022 | regressionVariable Selection | CodeCode Available | 1 | 5 |
| BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression | Apr 1, 2021 | regression | CodeCode Available | 1 | 5 |
| BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale | Dec 4, 2021 | BenchmarkingHyperparameter Optimization | CodeCode Available | 1 | 5 |
| An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System | Jul 16, 2022 | ClusteringCPU | CodeCode Available | 1 | 5 |
| BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View | Sep 5, 2023 | 3D Single Object TrackingAutonomous Driving | CodeCode Available | 1 | 5 |
| HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation | Jun 8, 2021 | 2D Human Pose EstimationFace Detection | CodeCode Available | 1 | 5 |
| Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems | Aug 27, 2018 | Multi-Task Learningquantile regression | CodeCode Available | 1 | 5 |
| DistilPose: Tokenized Pose Regression with Heatmap Distillation | Mar 4, 2023 | Knowledge DistillationPose Estimation | CodeCode Available | 1 | 5 |
| HybridPose: 6D Object Pose Estimation under Hybrid Representations | Jan 7, 2020 | 6D Pose Estimation using RGBObject | CodeCode Available | 1 | 5 |
| Do We Really Need Deep Learning Models for Time Series Forecasting? | Jan 6, 2021 | Deep Learningregression | CodeCode Available | 1 | 5 |
| BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation | May 7, 2022 | 6D Pose EstimationBenchmarking | CodeCode Available | 1 | 5 |
| Discrete-time Competing-Risks Regression with or without Penalization | Mar 2, 2023 | regressionSurvival Analysis | CodeCode Available | 1 | 5 |
| IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation | Feb 2, 2023 | 3D human pose and shape estimation3D Human Pose Estimation | CodeCode Available | 1 | 5 |
| LassoNet: A Neural Network with Feature Sparsity | Jul 29, 2019 | feature selectionregression | CodeCode Available | 1 | 5 |
| Disentangled High Quality Salient Object Detection | Aug 8, 2021 | GPUObject | CodeCode Available | 1 | 5 |
| Boolformer: Symbolic Regression of Logic Functions with Transformers | Sep 21, 2023 | Binary Classificationregression | CodeCode Available | 1 | 5 |
| Improve Representation for Imbalanced Regression through Geometric Constraints | Mar 2, 2025 | Operator learningregression | CodeCode Available | 1 | 5 |
| Boosted Sparse and Low-Rank Tensor Regression | Nov 3, 2018 | regression | CodeCode Available | 1 | 5 |
| Improving Deep Regression with Ordinal Entropy | Jan 21, 2023 | ClassificationCrowd Counting | CodeCode Available | 1 | 5 |
| An Empirical Study of Capital Asset Pricing Model based on Chinese A-share Trading Data | Apr 1, 2023 | regression | CodeCode Available | 1 | 5 |
| BoostTree and BoostForest for Ensemble Learning | Mar 21, 2020 | DiversityEnsemble Learning | CodeCode Available | 1 | 5 |
| Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning | Nov 16, 2022 | ClassificationImage Classification | CodeCode Available | 1 | 5 |
| Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates | Jun 28, 2020 | Keypoint DetectionMulti-Person Pose Estimation | CodeCode Available | 1 | 5 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 | 5 |
| Information-Theoretic Diffusion | Feb 7, 2023 | DenoisingImage Generation | CodeCode Available | 1 | 5 |
| Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees | May 23, 2022 | regressiontabular-regression | CodeCode Available | 1 | 5 |
| Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization | Aug 2, 2019 | Medical Image Analysisregression | CodeCode Available | 1 | 5 |
| Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression | Apr 16, 2019 | Face Alignmentregression | CodeCode Available | 1 | 5 |
| c-lasso -- a Python package for constrained sparse and robust regression and classification | Nov 2, 2020 | General Classificationregression | CodeCode Available | 1 | 5 |
| Calibrated Multiple-Output Quantile Regression with Representation Learning | Oct 2, 2021 | Conformal Predictionquantile regression | CodeCode Available | 1 | 5 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface | Oct 7, 2022 | Decoderregression | CodeCode Available | 1 | 5 |
| Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network | Mar 21, 2018 | 3D Face ReconstructionFace Alignment | CodeCode Available | 1 | 5 |
| Camera Pose Auto-Encoders for Improving Pose Regression | Jul 12, 2022 | Positionregression | CodeCode Available | 1 | 5 |
| An Evolutionary Forest for Regression | Nov 20, 2021 | Penn Machine Learning Benchmarkregression | CodeCode Available | 1 | 5 |
| Can Large Language Models Understand Preferences in Personalized Recommendation? | Jan 23, 2025 | regression | CodeCode Available | 1 | 5 |
| Disentangle Your Dense Object Detector | Jul 7, 2021 | DisentanglementObject | CodeCode Available | 1 | 5 |
| Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels | Jan 2, 2023 | Image ClassificationLearning with noisy labels | CodeCode Available | 1 | 5 |
| A hybrid Decoder-DeepONet operator regression framework for unaligned observation data | Aug 18, 2023 | Decoderregression | CodeCode Available | 1 | 5 |
