| Distribution-Aware Testing of Neural Networks Using Generative Models | Feb 26, 2021 | DNN Testingvalid | CodeCode Available | 1 | 5 |
| DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models | May 26, 2023 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| Assumption-Lean and Data-Adaptive Post-Prediction Inference | Nov 23, 2023 | Predictionvalid | CodeCode Available | 1 | 5 |
| Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks | Jun 6, 2021 | Distributional Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments | Dec 19, 2022 | In-Context LearningKnowledge Base Question Answering | CodeCode Available | 1 | 5 |
| An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation | Mar 11, 2022 | Dialogue GenerationTask-Oriented Dialogue Systems | CodeCode Available | 1 | 5 |
| Differentiable DAG Sampling | Mar 16, 2022 | validVariational Inference | CodeCode Available | 1 | 5 |
| Difference-in-Differences with Multiple Time Periods | Aug 18, 2020 | valid | CodeCode Available | 1 | 5 |
| Simple Difference-in-Differences Estimation in Fixed-T Panels | Jan 26, 2023 | valid | CodeCode Available | 1 | 5 |
| Differentiable Compositional Kernel Learning for Gaussian Processes | Jun 12, 2018 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
