| DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks | May 24, 2022 | Scheduling | —Unverified | 0 |
| DNN Quantization with Attention | Mar 24, 2021 | Object RecognitionQuantization | —Unverified | 0 |
| Automated Conversion of Static to Dynamic Scheduler via Natural Language | May 8, 2024 | RAGRetrieval | —Unverified | 0 |
| Domain-specific Communication Optimization for Distributed DNN Training | Aug 16, 2020 | Scheduling | —Unverified | 0 |
| Don't Forget What I did?: Assessing Client Contributions in Federated Learning | Mar 11, 2024 | Data PoisoningFairness | —Unverified | 0 |
| Don't ignore Dropout in Fully Convolutional Networks | Aug 24, 2019 | Image SegmentationScheduling | —Unverified | 0 |
| Don't Stop Me Now: Embedding Based Scheduling for LLMs | Oct 1, 2024 | BlockingLarge Language Model | —Unverified | 0 |
| DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs | May 29, 2025 | Scheduling | —Unverified | 0 |
| Collaborative Speculative Inference for Efficient LLM Inference Serving | Mar 13, 2025 | Large Language ModelScheduling | —Unverified | 0 |
| Collaborative Pure Exploration in Kernel Bandit | Oct 29, 2021 | Decision MakingRecommendation Systems | —Unverified | 0 |
| Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems with Limited Feedback | Apr 2, 2022 | Scheduling | —Unverified | 0 |
| Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints | May 23, 2023 | ClusteringQuantization | —Unverified | 0 |
| Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks | Dec 16, 2017 | Scheduling | —Unverified | 0 |
| Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints | Jan 25, 2023 | Scheduling | —Unverified | 0 |
| A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration | Jan 19, 2023 | Scheduling | —Unverified | 0 |
| Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning | May 10, 2021 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing | Apr 20, 2021 | Cloud ComputingScheduling | —Unverified | 0 |
| DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling | May 16, 2021 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| DRF Codes: Deep SNR-Robust Feedback Codes | Dec 22, 2021 | DecoderScheduling | —Unverified | 0 |
| DRL-based Joint Resource Scheduling of eMBB and URLLC in O-RAN | Jul 16, 2024 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep Convolutional Neural Networks | May 7, 2022 | Knowledge DistillationModel Compression | —Unverified | 0 |
| A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study | Oct 11, 2017 | ManagementScheduling | —Unverified | 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 |
| Drone-as-a-Service Composition Under Uncertainty | Mar 11, 2021 | SchedulingService Composition | —Unverified | 0 |
| Eco: A Hardware-Software Co-Design for In Situ Power Measurement on Low-end IoT Systems | Sep 23, 2019 | energy managementManagement | —Unverified | 0 |
| DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling | Dec 1, 2024 | Scheduling | —Unverified | 0 |
| DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling | Jan 20, 2021 | Scheduling | —Unverified | 0 |
| Dynamic Adaptive Resource Scheduling for Phased Array Radar: Enhancing Efficiency through Synthesis Priorities and Pulse Interleaving | Sep 28, 2024 | Scheduling | —Unverified | 0 |
| Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training | Jun 3, 2025 | Adversarial RobustnessScheduling | —Unverified | 0 |
| Dynamic Face Video Segmentation via Reinforcement Learning | Jul 2, 2019 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning | Jul 16, 2023 | Federated LearningScheduling | —Unverified | 0 |
| Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning | Jul 2, 2023 | FairnessScheduling | —Unverified | 0 |
| Collaborative Inter-Terminal Transportation of Containers | Sep 20, 2018 | Scheduling | —Unverified | 0 |
| Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning | May 25, 2024 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Dynamic Masking Rate Schedules for MLM Pretraining | May 24, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL | Dec 1, 2018 | Deep Reinforcement LearningReinforcement Learning | —Unverified | 0 |
| A novel evolutionary-based neuro-fuzzy task scheduling approach to jointly optimize the main design challenges of heterogeneous MPSoCs | Mar 14, 2022 | Scheduling | —Unverified | 0 |
| An adaptive large neighborhood search heuristic for the multi-port continuous berth allocation problem | Feb 5, 2023 | Scheduling | —Unverified | 0 |
| Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees | May 10, 2021 | FairnessMulti-agent Reinforcement Learning | —Unverified | 0 |
| Dynamic Network Flow Optimization for Task Scheduling in PTZ Camera Surveillance Systems | May 7, 2025 | motion predictionScheduling | —Unverified | 0 |
| Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization | Mar 31, 2025 | Cloud ComputingScheduling | —Unverified | 0 |
| Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems | Aug 27, 2024 | ManagementQ-Learning | —Unverified | 0 |
| Dynamic Reliability Management in Neuromorphic Computing | May 5, 2021 | BIG-bench Machine LearningManagement | —Unverified | 0 |
| Dynamic residential load scheduling based on an adaptive consumption level pricing scheme | Jul 23, 2020 | Scheduling | —Unverified | 0 |
| Dynamic Resource Allocation in Distributed MIMO-LEO Satellite Networks | May 27, 2025 | Scheduling | —Unverified | 0 |
| Dynamic Rolling Horizon-Based Robust Energy Management for Microgrids Under Uncertainty | Jul 11, 2023 | Decision Makingenergy management | —Unverified | 0 |
| Dynamic Scheduling for Enhanced Performance in RIS-assisted Cooperative Network with Interference | Jun 15, 2025 | ManagementScheduling | —Unverified | 0 |
| Dynamic Scheduling for Federated Edge Learning with Streaming Data | May 2, 2023 | Scheduling | —Unverified | 0 |
| Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-based Scheduling | Mar 10, 2022 | Deep Reinforcement LearningScheduling | —Unverified | 0 |
| Collaborative Evolving Strategy for Automatic Data-Centric Development | Jul 26, 2024 | Scheduling | —Unverified | 0 |