| DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks | May 24, 2022 | Scheduling | —Unverified | 0 | 0 |
| DNN Quantization with Attention | Mar 24, 2021 | Object RecognitionQuantization | —Unverified | 0 | 0 |
| Data-Driven Decision Making for Enhancing Small-Signal Stability in Hybrid AC/DC Grids Through Converter Control Role Assignment | Mar 7, 2025 | Decision MakingScheduling | —Unverified | 0 | 0 |
| Domain-specific Communication Optimization for Distributed DNN Training | Aug 16, 2020 | Scheduling | —Unverified | 0 | 0 |
| Don't Forget What I did?: Assessing Client Contributions in Federated Learning | Mar 11, 2024 | Data PoisoningFairness | —Unverified | 0 | 0 |
| Don't ignore Dropout in Fully Convolutional Networks | Aug 24, 2019 | Image SegmentationScheduling | —Unverified | 0 | 0 |
| Don't Stop Me Now: Embedding Based Scheduling for LLMs | Oct 1, 2024 | BlockingLarge Language Model | —Unverified | 0 | 0 |
| DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs | May 29, 2025 | Scheduling | —Unverified | 0 | 0 |
| A Robust Optimization Framework for Flexible Industrial Energy Scheduling: Application to a Cement Plant with Market Participation | Jun 12, 2025 | Scheduling | —Unverified | 0 | 0 |
| Doubly Perturbed Task Free Continual Learning | Dec 20, 2023 | Continual LearningDecision Making | —Unverified | 0 | 0 |
| Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems with Limited Feedback | Apr 2, 2022 | Scheduling | —Unverified | 0 | 0 |
| Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints | May 23, 2023 | ClusteringQuantization | —Unverified | 0 | 0 |
| Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems | Sep 4, 2023 | Scheduling | —Unverified | 0 | 0 |
| Data-driven Algorithm for Scheduling with Total Tardiness | May 12, 2020 | Scheduling | —Unverified | 0 | 0 |
| Argumentation for Explainable Scheduling (Full Paper with Proofs) | Nov 13, 2018 | Abstract ArgumentationScheduling | —Unverified | 0 | 0 |
| AIMD scheduling and resource allocation in distributed computing systems | Sep 6, 2021 | Distributed ComputingScheduling | —Unverified | 0 | 0 |
| DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing | Apr 20, 2021 | Cloud ComputingScheduling | —Unverified | 0 | 0 |
| DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling | May 16, 2021 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach | Apr 25, 2023 | Q-LearningScheduling | —Unverified | 0 | 0 |
| DRL-based Joint Resource Scheduling of eMBB and URLLC in O-RAN | Jul 16, 2024 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Data-Aware Device Scheduling for Federated Edge Learning | Feb 18, 2021 | DiversityScheduling | —Unverified | 0 | 0 |
| A review on the charging station planning and fleet operation for electric freight vehicles | Nov 28, 2023 | Scheduling | —Unverified | 0 | 0 |
| DRL-Based QoS-Aware Resource Allocation Scheme for Coexistence of Licensed and Unlicensed Users in LTE and Beyond | Aug 16, 2020 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Drone-as-a-Service Composition Under Uncertainty | Mar 11, 2021 | SchedulingService Composition | —Unverified | 0 | 0 |
| Data augmentation as stochastic optimization | Sep 28, 2020 | Data Augmentationregression | —Unverified | 0 | 0 |
| DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling | Dec 1, 2024 | Scheduling | —Unverified | 0 | 0 |
| DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds | Mar 24, 2025 | 3DGSScheduling | —Unverified | 0 | 0 |
| Dynamic Adaptive Resource Scheduling for Phased Array Radar: Enhancing Efficiency through Synthesis Priorities and Pulse Interleaving | Sep 28, 2024 | Scheduling | —Unverified | 0 | 0 |
| Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training | Jun 3, 2025 | Adversarial RobustnessScheduling | —Unverified | 0 | 0 |
| Dynamic Face Video Segmentation via Reinforcement Learning | Jul 2, 2019 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning | Jul 16, 2023 | Federated LearningScheduling | —Unverified | 0 | 0 |
| A Review on Computational Intelligence Techniques in Cloud and Edge Computing | Jul 27, 2020 | Cloud ComputingEdge-computing | —Unverified | 0 | 0 |
| AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost | Oct 22, 2024 | CPUGPU | —Unverified | 0 | 0 |
| Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning | May 25, 2024 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Dynamic Masking Rate Schedules for MLM Pretraining | May 24, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL | Dec 1, 2018 | Deep Reinforcement LearningReinforcement Learning | —Unverified | 0 | 0 |
| A Review of Wind Speed and Wind Power Forecasting Techniques | Sep 2, 2020 | SchedulingTime Series | —Unverified | 0 | 0 |
| DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks | May 15, 2023 | Change Detectionenergy management | —Unverified | 0 | 0 |
| Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees | May 10, 2021 | FairnessMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| Dynamic Network Flow Optimization for Task Scheduling in PTZ Camera Surveillance Systems | May 7, 2025 | motion predictionScheduling | —Unverified | 0 | 0 |
| Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization | Mar 31, 2025 | Cloud ComputingScheduling | —Unverified | 0 | 0 |
| Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems | Aug 27, 2024 | ManagementQ-Learning | —Unverified | 0 | 0 |
| Dynamic Reliability Management in Neuromorphic Computing | May 5, 2021 | BIG-bench Machine LearningManagement | —Unverified | 0 | 0 |
| Dynamic residential load scheduling based on an adaptive consumption level pricing scheme | Jul 23, 2020 | Scheduling | —Unverified | 0 | 0 |
| Dynamic Resource Allocation in Distributed MIMO-LEO Satellite Networks | May 27, 2025 | Scheduling | —Unverified | 0 | 0 |
| Dynamic Rolling Horizon-Based Robust Energy Management for Microgrids Under Uncertainty | Jul 11, 2023 | Decision Makingenergy management | —Unverified | 0 | 0 |
| Dynamic Scheduling for Enhanced Performance in RIS-assisted Cooperative Network with Interference | Jun 15, 2025 | ManagementScheduling | —Unverified | 0 | 0 |
| Dynamic Scheduling for Federated Edge Learning with Streaming Data | May 2, 2023 | Scheduling | —Unverified | 0 | 0 |
| Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-based Scheduling | Mar 10, 2022 | Deep Reinforcement LearningScheduling | —Unverified | 0 | 0 |
| D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving | Apr 17, 2025 | Mixture-of-ExpertsModel Compression | —Unverified | 0 | 0 |