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| Exponential Family Model-Based Reinforcement Learning via Score Matching | Dec 28, 2021 | Density EstimationModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| Fairness for Robust Log Loss Classification | Mar 10, 2019 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index | Mar 13, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs | Jul 13, 2020 | Feature Importanceregression | CodeCode Available | 0 | 5 |
| Accuracy and stability of solar variable selection comparison under complicated dependence structures | Jul 30, 2020 | Graph Learningregression | CodeCode Available | 0 | 5 |
| Explainable AI for Comparative Analysis of Intrusion Detection Models | Jun 14, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| Evolving-Graph Gaussian Processes | Jun 29, 2021 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks | Feb 24, 2025 | Evolutionary AlgorithmsForm | CodeCode Available | 0 | 5 |
| Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling | Jun 24, 2017 | regression | CodeCode Available | 0 | 5 |
| Event Detection via Probability Density Function Regression | Aug 23, 2024 | Event Detectionregression | CodeCode Available | 0 | 5 |
| Exact Optimization of Conformal Predictors via Incremental and Decremental Learning | Feb 5, 2021 | Anomaly Detectionregression | CodeCode Available | 0 | 5 |
| Actively Learning Gaussian Process Dynamics | Nov 22, 2019 | Active Learningregression | CodeCode Available | 0 | 5 |
| EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data | Jul 6, 2021 | Change Point DetectionData Augmentation | CodeCode Available | 0 | 5 |
| Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY | Jan 3, 2018 | feature selectionregression | CodeCode Available | 0 | 5 |
| Age Progression/Regression by Conditional Adversarial Autoencoder | Feb 27, 2017 | Attributeregression | CodeCode Available | 0 | 5 |
| Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems | Jun 12, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification | Sep 12, 2019 | BIG-bench Machine LearningBinary text classification | CodeCode Available | 0 | 5 |
| Estimation of motion blur kernel parameters using regression convolutional neural networks | Aug 2, 2023 | Blind Image DeblurringDeblurring | CodeCode Available | 0 | 5 |
| Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry Exploration | Oct 30, 2024 | Gaze Estimationregression | CodeCode Available | 0 | 5 |
| ETran: Energy-Based Transferability Estimation | Aug 3, 2023 | Classificationimage-classification | CodeCode Available | 0 | 5 |
| Evaluation for Regression Analyses on Evolving Data Streams | Feb 11, 2025 | regression | CodeCode Available | 0 | 5 |
| Event-based Camera Simulation using Monte Carlo Path Tracing with Adaptive Denoising | Mar 5, 2023 | Denoisingregression | CodeCode Available | 0 | 5 |
| Explaining AI in Finance: Past, Present, Prospects | Jun 5, 2023 | Decision MakingExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| Agent Coordination via Contextual Regression (AgentCONCUR) for Data Center Flexibility | Sep 28, 2023 | regression | CodeCode Available | 0 | 5 |
| Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model | Jun 7, 2018 | regression | CodeCode Available | 0 | 5 |
| A Generative Map for Image-based Camera Localization | Feb 18, 2019 | Camera Localizationregression | CodeCode Available | 0 | 5 |
| Estimating The Effect Of Subscription based Streaming Services On The Demand For Game Consoles | Dec 23, 2020 | regression | CodeCode Available | 0 | 5 |
| Estimating Uncertainty Intervals from Collaborating Networks | Feb 12, 2020 | Decision Makingregression | CodeCode Available | 0 | 5 |
| Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction | Jul 22, 2024 | regressionvalid | CodeCode Available | 0 | 5 |
| 3DRegNet: A Deep Neural Network for 3D Point Registration | Apr 2, 2019 | regression | CodeCode Available | 0 | 5 |
| Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression | Oct 3, 2024 | regression | CodeCode Available | 0 | 5 |
| Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression | Jul 31, 2023 | Active LearningDiversity | CodeCode Available | 0 | 5 |
| Symbolic regression by uniform random global search | Jun 18, 2019 | global-optimizationregression | CodeCode Available | 0 | 5 |
| Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review | Sep 14, 2020 | Causal InferenceModel Selection | CodeCode Available | 0 | 5 |
| Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models | Jul 14, 2019 | Clusteringfeature selection | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Epsilon-Lexicase Selection for Regression | May 30, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations | Oct 6, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| EOLO: Embedded Object Segmentation only Look Once | Mar 31, 2020 | Distance regressionGPU | CodeCode Available | 0 | 5 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| Active Learning for Regression Using Greedy Sampling | Aug 8, 2018 | Active LearningDiversity | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| A hybrid ensemble method with negative correlation learning for regression | Apr 6, 2021 | Diversityregression | CodeCode Available | 0 | 5 |
| Ensembles of Probabilistic Regression Trees | Jun 20, 2024 | regression | CodeCode Available | 0 | 5 |
| Probabilistic Traffic Forecasting with Dynamic Regression | Jan 17, 2023 | regressionTime Series | CodeCode Available | 0 | 5 |
| Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods | Jul 24, 2024 | regression | CodeCode Available | 0 | 5 |
| EnergyStar++: Towards more accurate and explanatory building energy benchmarking | Oct 30, 2019 | Benchmarkingenergy management | CodeCode Available | 0 | 5 |
| Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | Oct 8, 2023 | regression | CodeCode Available | 0 | 5 |