| Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype | Sep 12, 2023 | Image ReconstructionPosition | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
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| ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model | Dec 5, 2018 | Neural Network Compressionregression | CodeCode Available | 0 | 5 |
| Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning | Feb 11, 2024 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| Dynamic Network Quantile Regression Model | Nov 15, 2021 | modelquantile regression | CodeCode Available | 0 | 5 |
| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images | Oct 23, 2019 | Cancer ClassificationClassification | CodeCode Available | 0 | 5 |
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| DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression | Apr 16, 2016 | BlockingMulti-class Classification | CodeCode Available | 0 | 5 |
| Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography | Jul 20, 2019 | Bayesian InferenceGPR | CodeCode Available | 0 | 5 |
| DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning | Dec 24, 2021 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 | 5 |
| DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression | Aug 10, 2020 | CPUReal-Time Visual Tracking | CodeCode Available | 0 | 5 |
| Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net | Sep 25, 2017 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | CodeCode Available | 0 | 5 |
| Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data | Jan 17, 2023 | Dimensionality Reductionfeature selection | CodeCode Available | 0 | 5 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Additive Gaussian Processes | Dec 19, 2011 | Additive modelsGaussian Processes | CodeCode Available | 0 | 5 |
| DL-Reg: A Deep Learning Regularization Technique using Linear Regression | Oct 31, 2020 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Additive Approximations in High Dimensional Nonparametric Regression via the SALSA | Jan 31, 2016 | Additive modelsregression | CodeCode Available | 0 | 5 |
