| Determination of toxic comments and unintended model bias minimization using Deep learning approach | Nov 8, 2023 | regression | CodeCode Available | 0 | 5 |
| Deja Vu: Motion Prediction in Static Images | Mar 19, 2018 | Action Recognitionmotion prediction | CodeCode Available | 0 | 5 |
| Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization | Aug 16, 2022 | regression | CodeCode Available | 0 | 5 |
| Deterministic error bounds for kernel-based learning techniques under bounded noise | Aug 10, 2020 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Correlating Twitter Language with Community-Level Health Outcomes | Jun 13, 2019 | Clusteringregression | CodeCode Available | 0 | 5 |
| Improving Object Counting with Heatmap Regulation | Mar 14, 2018 | Crowd CountingObject | CodeCode Available | 0 | 5 |
| Determinantal Point Processes for Coresets | Mar 23, 2018 | Point Processesregression | CodeCode Available | 0 | 5 |
| Adaptive Reduced Rank Regression | May 28, 2019 | regression | CodeCode Available | 0 | 5 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 | 5 |
| Demographic Predictability in 3D CT Foundation Embeddings | Nov 28, 2024 | Computed Tomography (CT)regression | CodeCode Available | 0 | 5 |
| Detecting Errors in a Numerical Response via any Regression Model | May 26, 2023 | regression | CodeCode Available | 0 | 5 |
| Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts | Mar 7, 2024 | Depth Estimationregression | CodeCode Available | 0 | 5 |
| Automating the Discovery of Partial Differential Equations in Dynamical Systems | Apr 25, 2024 | regression | CodeCode Available | 0 | 5 |
| Denoising modulo samples: k-NN regression and tightness of SDP relaxation | Sep 10, 2020 | Denoisingregression | CodeCode Available | 0 | 5 |
| Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models | Apr 19, 2019 | regression | CodeCode Available | 0 | 5 |
| Dependent relevance determination for smooth and structured sparse regression | Nov 28, 2017 | regression | CodeCode Available | 0 | 5 |
| Inference for Rank-Rank Regressions | Oct 24, 2023 | regression | CodeCode Available | 0 | 5 |
| Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning | Aug 31, 2019 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data | Apr 24, 2018 | BIG-bench Machine Learningfeature selection | CodeCode Available | 0 | 5 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| Infinite Action Contextual Bandits with Reusable Data Exhaust | Feb 16, 2023 | Model SelectionMulti-Armed Bandits | CodeCode Available | 0 | 5 |
| InfiniteBoost: building infinite ensembles with gradient descent | Jun 4, 2017 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 0 | 5 |
| Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows | May 27, 2020 | image-classificationImage Classification | 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 |
| 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 |
