| An Intelligent Model for Solving Manpower Scheduling Problems | May 7, 2021 | Managementmodel | CodeCode Available | 0 | 5 |
| Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer Programs | Dec 23, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| A Wall-time Minimizing Parallelization Strategy for Approximate Bayesian Computation | Apr 30, 2023 | Scheduling | CodeCode Available | 0 | 5 |
| Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning | Aug 21, 2022 | Scheduling | CodeCode Available | 0 | 5 |
| Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks | Jan 14, 2025 | FairnessScheduling | CodeCode Available | 0 | 5 |
| Train Scheduling with Hybrid Answer Set Programming | Mar 19, 2020 | Scheduling | CodeCode Available | 0 | 5 |
| Explicit and Implicit Graduated Optimization in Deep Neural Networks | Dec 16, 2024 | global-optimizationimage-classification | CodeCode Available | 0 | 5 |
| Efficient Machine Translation Corpus Generation | Jun 20, 2023 | Machine TranslationScheduling | CodeCode Available | 0 | 5 |
| End-to-end Feature Selection Approach for Learning Skinny Trees | Oct 28, 2023 | Ensemble LearningFeature Compression | CodeCode Available | 0 | 5 |
| UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue | Apr 16, 2022 | Multi-Task LearningResponse Generation | CodeCode Available | 0 | 5 |
| OmniRouter: Budget and Performance Controllable Multi-LLM Routing | Feb 27, 2025 | AI AgentMathematical Reasoning | CodeCode Available | 0 | 5 |
| Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent | Jun 28, 2024 | GPUScheduling | CodeCode Available | 0 | 5 |
| Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources | Apr 26, 2019 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Dynamic Measurement Scheduling for Event Forecasting using Deep RL | Jan 24, 2019 | Deep Reinforcement LearningICU Mortality | CodeCode Available | 0 | 5 |
| DRL-Based Medium-Term Planning of Renewable-Integrated Self-Scheduling Cascaded Hydropower to Guide Wholesale Market Participation | Jan 8, 2025 | Deep Reinforcement LearningScheduling | CodeCode Available | 0 | 5 |
| DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters | Sep 13, 2019 | Deep LearningFairness | CodeCode Available | 0 | 5 |
| Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters | Nov 20, 2021 | Deep LearningScheduling | CodeCode Available | 0 | 5 |
| Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks | Mar 27, 2022 | Scheduling | CodeCode Available | 0 | 5 |
| Determinantal thinning of point processes with network learning applications | Oct 9, 2018 | Point ProcessesScheduling | CodeCode Available | 0 | 5 |
| A Flexible Storage Model for Power Network Optimization | Apr 29, 2020 | modelScheduling | CodeCode Available | 0 | 5 |
| DFEE: Interactive DataFlow Execution and Evaluation Kit | Dec 4, 2022 | BenchmarkingScheduling | CodeCode Available | 0 | 5 |
| Delay-Oriented Distributed Scheduling Using Graph Neural Networks | Nov 13, 2021 | Scheduling | CodeCode Available | 0 | 5 |
| Blackout DIFUSCO | Feb 5, 2025 | Combinatorial OptimizationScheduling | CodeCode Available | 0 | 5 |
| DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs | Nov 25, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning | Dec 17, 2023 | Decision MakingLoad Forecasting | CodeCode Available | 0 | 5 |
| Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision | May 24, 2022 | GPUScheduling | CodeCode Available | 0 | 5 |
| Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets | Apr 10, 2020 | Scheduling | CodeCode Available | 0 | 5 |
| Biased Backpressure Routing Using Link Features and Graph Neural Networks | Jul 13, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| Dampening parameter distributional shifts under robust control and gain scheduling | Nov 25, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| Data Sharing and Compression for Cooperative Networked Control | Sep 29, 2021 | Scheduling | CodeCode Available | 0 | 5 |
| Deep Q-learning: a robust control approach | Jan 21, 2022 | OpenAI GymQ-Learning | CodeCode Available | 0 | 5 |
| β-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation | Mar 26, 2025 | Anomaly DetectionManagement | CodeCode Available | 0 | 5 |
| BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes | Jun 22, 2021 | Scheduling | CodeCode Available | 0 | 5 |
| An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation | Dec 24, 2021 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| Curriculum Dropout | Mar 18, 2017 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing | Mar 25, 2019 | DecoderLanguage Modeling | CodeCode Available | 0 | 5 |
| DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills | May 14, 2019 | Knowledge TracingMemorization | CodeCode Available | 0 | 5 |
| The Role of Data Curation in Image Captioning | May 5, 2023 | Few-Shot LearningImage Captioning | CodeCode Available | 0 | 5 |
| CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity | Dec 24, 2019 | SchedulingStochastic Optimization | CodeCode Available | 0 | 5 |
| Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel | Nov 4, 2023 | Crowd CountingScene Recognition | CodeCode Available | 0 | 5 |
| Coverage probability in wireless networks with determinantal scheduling | Jun 9, 2020 | Point ProcessesScheduling | CodeCode Available | 0 | 5 |
| Constrained Reinforcement Learning for Dynamic Material Handling | May 23, 2023 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand | Jan 8, 2022 | Decision MakingScheduling | CodeCode Available | 0 | 5 |
| Benchmarking Flexible Electric Loads Scheduling Algorithms under Market Price Uncertainty | Feb 4, 2020 | BenchmarkingDecision Making | CodeCode Available | 0 | 5 |
| Combined Learning of Linear Parameter-Varying Models and Robust Control Invariant Sets | Nov 27, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| An ant colony optimization algorithm for job shop scheduling problem | Sep 19, 2013 | Combinatorial OptimizationJob Shop Scheduling | CodeCode Available | 0 | 5 |
| CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration | Mar 27, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning | Apr 27, 2025 | Reinforcement Learning (RL)Scheduling | CodeCode Available | 0 | 5 |
| Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling | Aug 31, 2018 | Binary ClassificationEvolutionary Algorithms | CodeCode Available | 0 | 5 |
| Cable Tree Wiring -- Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints | Nov 25, 2020 | BenchmarkingScheduling | CodeCode Available | 0 | 5 |