| Episodic Policy Gradient Training | Dec 3, 2021 | Policy Gradient MethodsScheduling | CodeCode Available | 1 |
| Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health | Aug 17, 2023 | Decision MakingFairness | CodeCode Available | 1 |
| Latency-aware Spatial-wise Dynamic Networks | Oct 12, 2022 | GPUimage-classification | CodeCode Available | 1 |
| DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines | Nov 17, 2023 | Language ModellingLarge Language Model | CodeCode Available | 1 |
| Dynamics-incorporated Modeling Framework for Stability Constrained Scheduling Under High-penetration of Renewable Energy | Jan 10, 2025 | Scheduling | CodeCode Available | 1 |
| Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent | Sep 11, 2020 | Bayesian InferenceFederated Learning | CodeCode Available | 1 |
| Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning | Aug 28, 2023 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 1 |
| Dynamic GPU Energy Optimization for Machine Learning Training Workloads | Jan 5, 2022 | BIG-bench Machine LearningGPU | CodeCode Available | 1 |
| Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog | Apr 23, 2020 | SchedulingTask-Oriented Dialogue Systems | CodeCode Available | 1 |
| Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks | Sep 1, 2020 | Cloud ComputingScheduling | CodeCode Available | 1 |
| Distributed Scheduling using Graph Neural Networks | Nov 18, 2020 | Scheduling | CodeCode Available | 1 |
| Forecasting SQL Query Cost at Twitter | Apr 12, 2022 | CPUScheduling | CodeCode Available | 1 |
| Games for Artificial Intelligence Research: A Review and Perspectives | Apr 26, 2023 | Decision MakingScheduling | CodeCode Available | 1 |
| GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy | May 18, 2025 | Cloud ComputingDeep Reinforcement Learning | CodeCode Available | 1 |
| Distributed Online Service Coordination Using Deep Reinforcement Learning | Jul 7, 2021 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 1 |
| GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments | Dec 16, 2021 | Scheduling | CodeCode Available | 1 |
| Digital Transformation in the Water Distribution System based on the Digital Twins Concept | Dec 9, 2024 | Decision MakingScheduling | CodeCode Available | 1 |
| Grid: Omni Visual Generation | Dec 14, 2024 | Image GenerationScheduling | CodeCode Available | 1 |
| How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads | Dec 15, 2023 | DiversityScheduling | CodeCode Available | 1 |
| Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication | Oct 11, 2020 | Deep Reinforcement LearningDistributed Optimization | CodeCode Available | 1 |
| Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism | Jan 3, 2022 | Deep Reinforcement LearningGraph Representation Learning | CodeCode Available | 1 |
| DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV | Nov 20, 2024 | Deep Reinforcement LearningScheduling | CodeCode Available | 1 |
| Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation | Mar 26, 2025 | Large Language ModelScheduling | CodeCode Available | 1 |
| Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks | Dec 2, 2020 | Deep Reinforcement LearningScheduling | CodeCode Available | 1 |
| Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs | May 20, 2025 | Scheduling | CodeCode Available | 1 |
| Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods | Aug 24, 2023 | Job Shop SchedulingScheduling | CodeCode Available | 1 |
| Adaptive Deep Neural Network Inference Optimization with EENet | Jan 15, 2023 | Inference OptimizationScheduling | CodeCode Available | 1 |
| DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | Mar 15, 2022 | SchedulingTime Series | CodeCode Available | 1 |
| Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts | Jun 5, 2025 | GPUScheduling | CodeCode Available | 1 |
| Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care | Nov 12, 2021 | Model SelectionScheduling | CodeCode Available | 1 |
| ACE, a generic constraint solver | Jan 6, 2023 | Scheduling | CodeCode Available | 1 |
| DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling | May 15, 2020 | Deep Reinforcement LearningGPU | CodeCode Available | 1 |
| Differentiable Combinatorial Scheduling at Scale | Jun 6, 2024 | Scheduling | CodeCode Available | 1 |
| DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining | Feb 24, 2023 | AllGPU | CodeCode Available | 1 |
| Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs | May 26, 2025 | Computational EfficiencyScheduling | CodeCode Available | 1 |
| A deep generative model for probabilistic energy forecasting in power systems: normalizing flows | Jun 17, 2021 | energy managementManagement | CodeCode Available | 1 |
| Decentralized Training of Foundation Models in Heterogeneous Environments | Jun 2, 2022 | GPUScheduling | CodeCode Available | 1 |
| Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction | Feb 28, 2023 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training | Feb 16, 2023 | Scheduling | CodeCode Available | 1 |
| Deep Reinforcement Agent for Scheduling in HPC | Feb 11, 2021 | Deep Reinforcement LearningScheduling | CodeCode Available | 1 |
| DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates | Oct 8, 2020 | CPUScheduling | CodeCode Available | 1 |
| Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning | Aug 30, 2022 | Cloud ComputingDeep Reinforcement Learning | CodeCode Available | 1 |
| Cross-Entropy Method Variants for Optimization | Sep 18, 2020 | Scheduling | CodeCode Available | 1 |
| CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning | Sep 7, 2023 | CPUDeep Reinforcement Learning | CodeCode Available | 1 |
| CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning | Jan 14, 2025 | Deep Reinforcement LearningGPU | CodeCode Available | 1 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| A Generalized Delay and Backlog Analysis for Multiplexing URLLC and eMBB: Reconfigurable Intelligent Surfaces or Decode-and-Forward? | Sep 18, 2023 | Scheduling | CodeCode Available | 1 |
| Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach | Apr 24, 2020 | Deep Reinforcement LearningFairness | CodeCode Available | 1 |
| Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks | Dec 5, 2023 | Scheduling | CodeCode Available | 1 |
| ConsumerBench: Benchmarking Generative AI Applications on End-User Devices | Jun 21, 2025 | BenchmarkingCPU | CodeCode Available | 1 |
