| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 2021 | regression | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data | Mar 6, 2020 | Decision Makingregression | CodeCode Available | 0 | 5 |
| Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification | Aug 27, 2020 | General Classificationregression | CodeCode Available | 0 | 5 |
| Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes | Aug 3, 2018 | Conditional Image GenerationDiversity | CodeCode Available | 0 | 5 |
| Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning | May 7, 2024 | regressionscientific discovery | 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 |
| Auxiliary Variational MCMC | May 1, 2019 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| Causal Regularization | Jun 28, 2019 | Learning Theoryregression | CodeCode Available | 0 | 5 |
| CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy Optimization | Jun 18, 2025 | D4RLOffline RL | CodeCode Available | 0 | 5 |
| Distribution-Free Predictive Inference For Regression | Apr 14, 2016 | Computational EfficiencyPrediction | CodeCode Available | 0 | 5 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | CodeCode Available | 0 | 5 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | regression | CodeCode Available | 0 | 5 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Autoregressive Quantile Networks for Generative Modeling | Jun 14, 2018 | Diversityquantile regression | CodeCode Available | 0 | 5 |
| Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding | Jul 12, 2024 | regressiontext-to-speech | CodeCode Available | 0 | 5 |
| CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images | Nov 7, 2023 | regression | CodeCode Available | 0 | 5 |
| Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman | Dec 19, 2023 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman | Dec 15, 2023 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric Uncertainty | Mar 22, 2024 | Cell TrackingMotion Estimation | CodeCode Available | 0 | 5 |
| Learning Label Encodings for Deep Regression | Mar 4, 2023 | Binary Classificationregression | CodeCode Available | 0 | 5 |
| A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions | Sep 21, 2017 | regression | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |
