| Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning | Jun 17, 2022 | Computational EfficiencyCPU | —Unverified | 0 | 0 |
| Discovering Multi-Hardware Mobile Models via Architecture Search | Aug 18, 2020 | CPUGPU | —Unverified | 0 | 0 |
| DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training | May 8, 2024 | CPUGraph Sampling | —Unverified | 0 | 0 |
| DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks | Apr 14, 2021 | CPUgraph partitioning | —Unverified | 0 | 0 |
| Distilling Neural Networks for Greener and Faster Dependency Parsing | Jun 1, 2020 | CPUDependency Parsing | —Unverified | 0 | 0 |
| Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications | Jun 17, 2025 | Action DetectionActivity Detection | —Unverified | 0 | 0 |
| Distributed and Joint Optimization of Precoding and Power for User-Centric Cell-Free Massive MIMO | May 9, 2022 | CPU | —Unverified | 0 | 0 |
| Distributed Bayesian Inference for Large-Scale IoT Systems | Dec 19, 2023 | Bayesian InferenceCPU | —Unverified | 0 | 0 |
| Distributed Bayesian Piecewise Sparse Linear Models | Nov 7, 2017 | CPUModel Selection | —Unverified | 0 | 0 |
| Distributed Channel Estimation and Optimization for 6D Movable Antenna: Unveiling Directional Sparsity | Sep 24, 2024 | CPUPosition | —Unverified | 0 | 0 |
| Distributed CPU Scheduling Subject to Nonlinear Constraints | Aug 30, 2022 | CPUDistributed Optimization | —Unverified | 0 | 0 |
| Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation | Oct 27, 2023 | AllCPU | —Unverified | 0 | 0 |
| Distributed Graph Neural Network Training: A Survey | Nov 1, 2022 | CPUDistributed Computing | —Unverified | 0 | 0 |
| Distributed Hessian-Free Optimization for Deep Neural Network | Jun 2, 2016 | CPUspeech-recognition | —Unverified | 0 | 0 |
| Distributed Kernel K-Means for Large Scale Clustering | Oct 9, 2017 | ClusteringComputational chemistry | —Unverified | 0 | 0 |
| Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction | Feb 16, 2023 | CPUFederated Learning | —Unverified | 0 | 0 |
| Distributed Multigrid Neural Solvers on Megavoxel Domains | Apr 29, 2021 | CPUGPU | —Unverified | 0 | 0 |
| Distributed optimization in wireless sensor networks: an island-model framework | Oct 5, 2018 | Anomaly DetectionCPU | —Unverified | 0 | 0 |
| Distributed Receivers for Extra-Large Scale MIMO Arrays: A Message Passing Approach | Jul 14, 2020 | CPU | —Unverified | 0 | 0 |
| Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity | Jan 29, 2022 | Cloud ComputingCPU | —Unverified | 0 | 0 |
| Distributed U-net model and Image Segmentation for Lung Cancer Detection | Feb 20, 2025 | CPUFederated Learning | —Unverified | 0 | 0 |
| Divide and Conquer for Full-Resolution Light Field Deblurring | Jun 1, 2018 | CPUDeblurring | —Unverified | 0 | 0 |
| DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended) | Nov 18, 2019 | BenchmarkingCPU | —Unverified | 0 | 0 |
| DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud | Apr 4, 2023 | CPUGPU | —Unverified | 0 | 0 |
| DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis | Aug 27, 2020 | CPU | —Unverified | 0 | 0 |