| Efficient Truncated Linear Regression with Unknown Noise Variance | Aug 25, 2022 | regression | CodeCode Available | 0 | 5 |
| Adversarial Regression with Multiple Learners | Jun 6, 2018 | regression | CodeCode Available | 0 | 5 |
| Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training | Sep 12, 2018 | Abusive LanguageClassification | CodeCode Available | 0 | 5 |
| Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach | Mar 22, 2023 | Model Discoveryregression | CodeCode Available | 0 | 5 |
| Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging | Nov 2, 2021 | Bayesian InferenceEEG | CodeCode Available | 0 | 5 |
| Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays | Aug 27, 2019 | Generative Adversarial Networkregression | CodeCode Available | 0 | 5 |
| Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits | Feb 17, 2024 | Computational EfficiencyEfficient Exploration | CodeCode Available | 0 | 5 |
| Efficient Exploration through Bayesian Deep Q-Networks | Feb 13, 2018 | Atari GamesEfficient Exploration | CodeCode Available | 0 | 5 |
| Adversarial Regression Learning for Bone Age Estimation | Mar 10, 2021 | Age Estimationregression | CodeCode Available | 0 | 5 |
| A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds | Oct 18, 2021 | Additive modelsDecision Making | CodeCode Available | 0 | 5 |
| Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment | Oct 18, 2019 | Generative Adversarial Networkregression | CodeCode Available | 0 | 5 |
| Model-based Reinforcement Learning for Continuous Control with Posterior Sampling | Nov 20, 2020 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Efficient online learning with kernels for adversarial large scale problems | Feb 26, 2019 | regression | CodeCode Available | 0 | 5 |
| An interpretable neural network-based non-proportional odds model for ordinal regression | Mar 31, 2023 | regression | CodeCode Available | 0 | 5 |
| Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city | Aug 9, 2020 | Predictionregression | CodeCode Available | 0 | 5 |
| Efficient computation of predictive probabilities in probit models via expectation propagation | Sep 4, 2023 | Binary ClassificationForm | CodeCode Available | 0 | 5 |
| Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression | Jan 6, 2018 | regression | CodeCode Available | 0 | 5 |
| Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling | Oct 19, 2020 | ImputationMissing Labels | CodeCode Available | 0 | 5 |
| An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data | May 15, 2024 | Classificationfeature selection | CodeCode Available | 0 | 5 |
| An Intermediate-level Attack Framework on The Basis of Linear Regression | Mar 21, 2022 | regression | CodeCode Available | 0 | 5 |
| Effective Non-Random Extreme Learning Machine | Nov 25, 2024 | regression | CodeCode Available | 0 | 5 |
| Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization | Jul 27, 2019 | regression | CodeCode Available | 0 | 5 |
| Efficient Algorithms for Multidimensional Segmented Regression | Mar 24, 2020 | regression | CodeCode Available | 0 | 5 |
| Efficient expectation propagation for posterior approximation in high-dimensional probit models | Sep 4, 2023 | regression | CodeCode Available | 0 | 5 |
| Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression | Jun 8, 2016 | regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
