| Contemporary Symbolic Regression Methods and their Relative Performance | Jul 29, 2021 | Benchmarkingparameter estimation | CodeCode Available | 1 | 5 |
| Multi-View Symbolic Regression | Feb 6, 2024 | Astronomyregression | CodeCode Available | 1 | 5 |
| Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation | May 7, 2020 | ClusteringGPU | CodeCode Available | 1 | 5 |
| A hybrid Decoder-DeepONet operator regression framework for unaligned observation data | Aug 18, 2023 | Decoderregression | CodeCode Available | 1 | 5 |
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| Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression | Mar 22, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Neural Symbolic Regression that Scales | Jun 11, 2021 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| Controlled abstention neural networks for identifying skillful predictions for regression problems | Apr 16, 2021 | regression | CodeCode Available | 1 | 5 |
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| Convolutional neural networks for classification and regression analysis of one-dimensional spectral data | May 15, 2020 | Classificationfeature selection | CodeCode Available | 1 | 5 |
| NiftyNet: a deep-learning platform for medical imaging | Sep 11, 2017 | Data AugmentationDeep Learning | CodeCode Available | 1 | 5 |
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| LassoNet: A Neural Network with Feature Sparsity | Jul 29, 2019 | feature selectionregression | CodeCode Available | 1 | 5 |
| A Comprehensive Analysis of Deep Regression | Mar 22, 2018 | Pose Estimationregression | CodeCode Available | 1 | 5 |
| Coresets via Bilevel Optimization for Continual Learning and Streaming | Jun 6, 2020 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 | 5 |
| No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks | May 3, 2024 | AllInductive Bias | CodeCode Available | 1 | 5 |
| An Evolutionary Forest for Regression | Nov 20, 2021 | Penn Machine Learning Benchmarkregression | CodeCode Available | 1 | 5 |
| An information criterion for automatic gradient tree boosting | Aug 13, 2020 | Model Selectionregression | CodeCode Available | 1 | 5 |
| Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images | Dec 13, 2020 | Contrastive LearningObject Localization | CodeCode Available | 1 | 5 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| On Feature Selection Using Anisotropic General Regression Neural Network | Oct 12, 2020 | BIG-bench Machine Learningfeature selection | CodeCode Available | 1 | 5 |
| Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin? | Apr 19, 2021 | Active LearningPose Estimation | CodeCode Available | 1 | 5 |
| Critic Regularized Regression | Jun 26, 2020 | Offline RLregression | CodeCode Available | 1 | 5 |
| flexBART: Flexible Bayesian regression trees with categorical predictors | Nov 8, 2022 | regression | CodeCode Available | 1 | 5 |
| On the functional form of the radial acceleration relation | Jan 11, 2023 | Formregression | CodeCode Available | 1 | 5 |
| D2Det: Towards High Quality Object Detection and Instance Segmentation | Jun 1, 2020 | Instance SegmentationObject | CodeCode Available | 1 | 5 |
| Optimizing Hyperparameters with Conformal Quantile Regression | May 5, 2023 | Gaussian ProcessesHyperparameter Optimization | CodeCode Available | 1 | 5 |
| Cyclic Boosting -- an explainable supervised machine learning algorithm | Feb 9, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 1 | 5 |
| Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos | Oct 20, 2022 | LV SegmentationPrediction | CodeCode Available | 1 | 5 |
| An Intuitive Tutorial to Gaussian Process Regression | Sep 22, 2020 | BIG-bench Machine LearningGaussian Processes | CodeCode Available | 1 | 5 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 | 5 |
| D4AM: A General Denoising Framework for Downstream Acoustic Models | Nov 28, 2023 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 1 | 5 |
| DANets: Deep Abstract Networks for Tabular Data Classification and Regression | Dec 6, 2021 | regression | CodeCode Available | 1 | 5 |
| AniFormer: Data-driven 3D Animation with Transformer | Oct 20, 2021 | regression | CodeCode Available | 1 | 5 |
| Dendrite Net: A White-Box Module for Classification, Regression, and System Identification | Apr 8, 2020 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models | Jun 27, 2024 | Continual LearningIncremental Learning | CodeCode Available | 1 | 5 |
| Data Poisoning Attacks on Regression Learning and Corresponding Defenses | Sep 15, 2020 | Data Poisoningregression | CodeCode Available | 1 | 5 |
| DCDet: Dynamic Cross-based 3D Object Detector | Jan 14, 2024 | 3D Object DetectionObject | CodeCode Available | 1 | 5 |
| Piecewise Linear Regression via a Difference of Convex Functions | Jul 5, 2020 | regression | CodeCode Available | 1 | 5 |
| Energy-Based Models for Deep Probabilistic Regression | Sep 26, 2019 | Head Pose Estimationobject-detection | CodeCode Available | 1 | 5 |
| Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild | Mar 8, 2020 | CPUDomain Generalization | CodeCode Available | 1 | 5 |
| Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning | Oct 1, 2019 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels | Sep 6, 2024 | Drug Discoveryregression | 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 |
| Decision Stream: Cultivating Deep Decision Trees | Apr 25, 2017 | Classificationfeature selection | CodeCode Available | 1 | 5 |
| Event-Based Angular Velocity Regression with Spiking Networks | Mar 5, 2020 | regression | CodeCode Available | 1 | 5 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 | 5 |
| Decoupled Adaptation for Cross-Domain Object Detection | Oct 6, 2021 | Domain AdaptationObject | CodeCode Available | 1 | 5 |
| Financial Time Series Data Processing for Machine Learning | Jul 3, 2019 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 1 | 5 |
