| Combining unsupervised and supervised learning for predicting the final stroke lesion | Jan 2, 2021 | Decision Making | CodeCode Available | 0 |
| Reinforcement Learning for Flexibility Design Problems | Jan 2, 2021 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Neural Network Surgery: Combining Training with Topology Optimization | Jan 1, 2021 | Decision MakingNeural Architecture Search | —Unverified | 0 |
| Learning to Control on the Fly | Jan 1, 2021 | Decision Making | —Unverified | 0 |
| Constraint-Driven Explanations of Black-Box ML Models | Jan 1, 2021 | Decision Making | —Unverified | 0 |
| Estimating Treatment Effects via Orthogonal Regularization | Jan 1, 2021 | Causal InferenceDecision Making | —Unverified | 0 |
| Learning to Recover from Failures using Memory | Jan 1, 2021 | Decision MakingMeta-Learning | —Unverified | 0 |
| Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means | Jan 1, 2021 | ClusteringDecision Making | —Unverified | 0 |
| Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning | Jan 1, 2021 | Computed Tomography (CT)COVID-19 Diagnosis | —Unverified | 0 |
| Computing Preimages of Deep Neural Networks with Applications to Safety | Jan 1, 2021 | Collision AvoidanceDecision Making | —Unverified | 0 |
| Model-based Navigation in Environments with Novel Layouts Using Abstract 2-D Maps | Jan 1, 2021 | Decision Making | —Unverified | 0 |
| DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation | Jan 1, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations | Jan 1, 2021 | Attributecounterfactual | —Unverified | 0 |
| Learning to Learn with Smooth Regularization | Jan 1, 2021 | Decision MakingFew-Shot Learning | —Unverified | 0 |
| Driving through the Lens: Improving Generalization of Learning-based Steering using Simulated Adversarial Examples | Jan 1, 2021 | Autonomous DrivingData Augmentation | —Unverified | 0 |
| Learning to Make Decisions via Submodular Regularization | Jan 1, 2021 | Active LearningBayesian Optimization | —Unverified | 0 |
| Counterfactual Fairness through Data Preprocessing | Jan 1, 2021 | BIG-bench Machine Learningcounterfactual | —Unverified | 0 |
| Divide-and-Conquer Monte Carlo Tree Search | Jan 1, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Efficient Learning-based Scheduling for Information Freshness in Wireless Networks | Jan 1, 2021 | Decision MakingScheduling | —Unverified | 0 |
| Learning to Observe with Reinforcement Learning | Jan 1, 2021 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Learning Flexible Visual Representations via Interactive Gameplay | Jan 1, 2021 | Decision MakingRepresentation Learning | —Unverified | 0 |
| Hard Masking for Explaining Graph Neural Networks | Jan 1, 2021 | Data CompressionDecision Making | —Unverified | 0 |
| Understanding and Leveraging Causal Relations in Deep Reinforcement Learning | Jan 1, 2021 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Success-Rate Targeted Reinforcement Learning by Disorientation Penalty | Jan 1, 2021 | Decision MakingQ-Learning | —Unverified | 0 |
| Towards a Reliable and Robust Dialogue System for Medical Automatic Diagnosis | Jan 1, 2021 | Decision MakingDiagnostic | —Unverified | 0 |