| Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling | Mar 24, 2025 | BenchmarkingOpenAI Gym | CodeCode Available | 0 | 5 |
| Monge-Kantorovich Optimal Transport Through Constrictions and Flow-rate Constraints | Dec 30, 2022 | Scheduling | CodeCode Available | 0 | 5 |
| FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU | Apr 17, 2024 | Face RecognitionGPU | CodeCode Available | 0 | 5 |
| Metaheuristics for the Online Printing Shop Scheduling Problem | Jun 22, 2020 | Job Shop SchedulingScheduling | CodeCode Available | 0 | 5 |
| Message Scheduling for Performant, Many-Core Belief Propagation | Sep 24, 2019 | GPUProtein Folding | CodeCode Available | 0 | 5 |
| A Multiperiod Workforce Scheduling and Routing Problem with Dependent Tasks | Aug 6, 2020 | Scheduling | CodeCode Available | 0 | 5 |
| Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration | Oct 17, 2024 | DenoisingScheduling | CodeCode Available | 0 | 5 |
| Minimizing Queue Length Regret for Arbitrarily Varying Channels | Jan 23, 2025 | Scheduling | CodeCode Available | 0 | 5 |
| Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks | May 1, 2019 | BIG-bench Machine LearningScheduling | CodeCode Available | 0 | 5 |
| Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties | Nov 27, 2023 | SchedulingTraveling Salesman Problem | CodeCode Available | 0 | 5 |
| Making the most of your day: online learning for optimal allocation of time | Feb 16, 2021 | Scheduling | CodeCode Available | 0 | 5 |
| AIOS: LLM Agent Operating System | Mar 25, 2024 | AI AgentLanguage Modelling | CodeCode Available | 0 | 5 |
| Temporally Correlated Task Scheduling for Sequence Learning | Jul 10, 2020 | Machine TranslationScheduling | CodeCode Available | 0 | 5 |
| Learn the Time to Learn: Replay Scheduling in Continual Learning | Sep 18, 2022 | Continual LearningScheduling | CodeCode Available | 0 | 5 |
| Long-term Joint Scheduling for Urban Traffic | Oct 27, 2019 | Reinforcement LearningScheduling | CodeCode Available | 0 | 5 |
| MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge | Jul 1, 2024 | Model Predictive ControlScheduling | CodeCode Available | 0 | 5 |
| ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting | Jun 3, 2025 | Demand ForecastingDenoising | CodeCode Available | 0 | 5 |
| Learning to Schedule Heuristics in Branch-and-Bound | Mar 18, 2021 | Decision MakingScheduling | CodeCode Available | 0 | 5 |
| Learning to Schedule Communication in Multi-agent Reinforcement Learning | Feb 5, 2019 | Deep Reinforcement LearningMulti-agent Reinforcement Learning | CodeCode Available | 0 | 5 |
| Learning to Schedule Heuristics in Branch and Bound | May 21, 2021 | Decision MakingScheduling | CodeCode Available | 0 | 5 |
| Learning to Identify Top Elo Ratings: A Dueling Bandits Approach | Jan 12, 2022 | Scheduling | CodeCode Available | 0 | 5 |
| Learning to Explore for Stochastic Gradient MCMC | Aug 17, 2024 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Scheduling Jobs with Stochastic Holding Costs | May 28, 2021 | Scheduling | CodeCode Available | 0 | 5 |
| Learning User Preferences and Understanding Calendar Contexts for Event Scheduling | Sep 5, 2018 | Scheduling | CodeCode Available | 0 | 5 |
| Matrix-Scheduling of QSR-Dissipative Systems | Nov 20, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| Learning From Scenarios for Stochastic Repairable Scheduling | Dec 6, 2023 | SchedulingStochastic Optimization | CodeCode Available | 0 | 5 |
| Learning Data Augmentation Schedules for Natural Language Processing | Nov 1, 2021 | Data AugmentationScheduling | CodeCode Available | 0 | 5 |
| Learning Gradient Descent: Better Generalization and Longer Horizons | Mar 10, 2017 | Scheduling | CodeCode Available | 0 | 5 |
| Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation | Jan 30, 2023 | Decision MakingGraph Attention | CodeCode Available | 0 | 5 |
| Addressing distributional shifts in operations management: The case of order fulfillment in customized production | Apr 24, 2023 | Decision MakingJob Shop Scheduling | CodeCode Available | 0 | 5 |
| Learning a Reward Function for User-Preferred Appliance Scheduling | Oct 11, 2023 | Decision MakingScheduling | CodeCode Available | 0 | 5 |
| Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks | Oct 1, 2018 | Meta-LearningScheduling | CodeCode Available | 0 | 5 |
| Learning by Playing - Solving Sparse Reward Tasks from Scratch | Feb 28, 2018 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction | May 24, 2024 | Meta-LearningMolecular Property Prediction | CodeCode Available | 0 | 5 |
| Key-Value Retrieval Networks for Task-Oriented Dialogue | May 15, 2017 | Information RetrievalRetrieval | CodeCode Available | 0 | 5 |
| L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery | Apr 7, 2025 | 3DGSScheduling | CodeCode Available | 0 | 5 |
| KernelOracle: Predicting the Linux Scheduler's Next Move with Deep Learning | May 21, 2025 | CPUDeep Learning | CodeCode Available | 0 | 5 |
| Algorithms with Prediction Portfolios | Oct 22, 2022 | PredictionScheduling | CodeCode Available | 0 | 5 |
| InterQ: A DQN Framework for Optimal Intermittent Control | Apr 12, 2025 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT | Mar 27, 2024 | Deep Reinforcement LearningScheduling | CodeCode Available | 0 | 5 |
| FLStore: Efficient Federated Learning Storage for non-training workloads | Mar 1, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Imitating Cost-Constrained Behaviors in Reinforcement Learning | Mar 26, 2024 | Imitation Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent | Apr 30, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| Application Performance Modeling via Tensor Completion | Oct 18, 2022 | SchedulingTensor Decomposition | CodeCode Available | 0 | 5 |
| How Does Data Freshness Affect Real-time Supervised Learning? | Aug 15, 2022 | Scheduling | CodeCode Available | 0 | 5 |
| A Comparative Study of SMT and MILP for the Nurse Rostering Problem | May 15, 2025 | Scheduling | CodeCode Available | 0 | 5 |
| Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction | Feb 15, 2023 | Conformal PredictionScheduling | CodeCode Available | 0 | 5 |
| HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices | Mar 30, 2023 | Action RecognitionScheduling | CodeCode Available | 0 | 5 |
| Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms | Apr 19, 2020 | CPUDeep Learning | CodeCode Available | 0 | 5 |
| Graph Federated Learning for CIoT Devices in Smart Home Applications | Dec 29, 2022 | Federated LearningScheduling | CodeCode Available | 0 | 5 |