| A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction | Aug 19, 2024 | PredictionScheduling | CodeCode Available | 0 | 5 |
| Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning | Dec 22, 2017 | Deep Reinforcement LearningEfficient Exploration | CodeCode Available | 0 | 5 |
| ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural Networks | Nov 25, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problems | Oct 22, 2020 | Combinatorial OptimizationScheduling | CodeCode Available | 0 | 5 |
| Exploring Large Language Models for Word Games:Who is the Spy? | Mar 19, 2025 | Scheduling | CodeCode Available | 0 | 5 |
| Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems | Jun 29, 2024 | Decision Makingenergy management | 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 |
| Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators | Apr 8, 2024 | QuantizationScheduling | CodeCode Available | 0 | 5 |
| ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting | Jun 3, 2025 | Demand ForecastingDenoising | CodeCode Available | 0 | 5 |
| Fair Best Arm Identification with Fixed Confidence | Aug 30, 2024 | FairnessScheduling | CodeCode Available | 0 | 5 |
| Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing | Jun 10, 2025 | Edge-computingreinforcement-learning | CodeCode Available | 0 | 5 |
| Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs | Feb 25, 2022 | SchedulingTime Series | CodeCode Available | 0 | 5 |
| Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data | Mar 14, 2019 | Question AnsweringReading Comprehension | CodeCode Available | 0 | 5 |
| Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions | Apr 2, 2025 | 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 |
| End-to-end Feature Selection Approach for Learning Skinny Trees | Oct 28, 2023 | Ensemble LearningFeature Compression | CodeCode Available | 0 | 5 |
| Explicit and Implicit Graduated Optimization in Deep Neural Networks | Dec 16, 2024 | global-optimizationimage-classification | CodeCode Available | 0 | 5 |
| Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU | Nov 18, 2016 | CPUGPU | CodeCode Available | 0 | 5 |
| Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks | Dec 9, 2020 | BIG-bench Machine LearningFederated Learning | CodeCode Available | 0 | 5 |
| GradViT: Gradient Inversion of Vision Transformers | Mar 22, 2022 | Scheduling | CodeCode Available | 0 | 5 |
| ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators | Jun 11, 2024 | Edge-computingScheduling | CodeCode Available | 0 | 5 |
| E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing | Feb 5, 2025 | Federated LearningScheduling | CodeCode Available | 0 | 5 |
| AutoLoss: Learning Discrete Schedules for Alternate Optimization | Oct 4, 2018 | Image GenerationMachine Translation | 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 |
| OmniRouter: Budget and Performance Controllable Multi-LLM Routing | Feb 27, 2025 | AI AgentMathematical Reasoning | CodeCode Available | 0 | 5 |
| Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control | Mar 12, 2024 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Efficient Machine Translation Corpus Generation | Jun 20, 2023 | Machine TranslationScheduling | CodeCode Available | 0 | 5 |
| Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers | Oct 13, 2021 | Extreme Multi-Label ClassificationGPU | CodeCode Available | 0 | 5 |
| Dynamic Measurement Scheduling for Event Forecasting using Deep RL | Jan 24, 2019 | Deep Reinforcement LearningICU Mortality | 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 |
| Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters | Nov 20, 2021 | Deep LearningScheduling | CodeCode Available | 0 | 5 |
| DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters | Sep 13, 2019 | Deep LearningFairness | CodeCode Available | 0 | 5 |
| Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning | Jun 22, 2024 | Graph Neural NetworkModel Selection | 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 |
| Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction | Apr 26, 2022 | FairnessScheduling | CodeCode Available | 0 | 5 |
| DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs | Nov 25, 2024 | Scheduling | CodeCode Available | 0 | 5 |
| DFEE: Interactive DataFlow Execution and Evaluation Kit | Dec 4, 2022 | BenchmarkingScheduling | CodeCode Available | 0 | 5 |
| Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks | Mar 27, 2022 | Scheduling | CodeCode Available | 0 | 5 |
| Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch | Dec 1, 2020 | Scheduling | CodeCode Available | 0 | 5 |
| ANN-Based Grid Impedance Estimation for Adaptive Gain Scheduling in VSG Under Dynamic Grid Conditions | Jun 29, 2025 | Scheduling | CodeCode Available | 0 | 5 |
| An Intelligent Model for Solving Manpower Scheduling Problems | May 7, 2021 | Managementmodel | CodeCode Available | 0 | 5 |
| Determinantal thinning of point processes with network learning applications | Oct 9, 2018 | Point ProcessesScheduling | CodeCode Available | 0 | 5 |
| Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback | Jan 2, 2023 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Deep Q-learning: a robust control approach | Jan 21, 2022 | OpenAI GymQ-Learning | CodeCode Available | 0 | 5 |
| Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision | May 24, 2022 | GPUScheduling | CodeCode Available | 0 | 5 |
| Data Sharing and Compression for Cooperative Networked Control | Sep 29, 2021 | Scheduling | CodeCode Available | 0 | 5 |
| Delay-Oriented Distributed Scheduling Using Graph Neural Networks | Nov 13, 2021 | Scheduling | CodeCode Available | 0 | 5 |
| Solving the Resource Constrained Project Scheduling Problem Using the Parallel Tabu Search Designed for the CUDA Platform | Nov 13, 2017 | CPUGPU | CodeCode Available | 0 | 5 |
| Curriculum Dropout | Mar 18, 2017 | image-classificationImage Classification | CodeCode Available | 0 | 5 |