| To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints | Nov 15, 2020 | NegationScheduling | —Unverified | 0 |
| Toward a Standard Interface for User-Defined Scheduling in OpenMP | Jun 21, 2019 | Scheduling | —Unverified | 0 |
| Toward Automated Virtual Assembly for Prefabricated Construction: Construction Sequencing through Simulated BIM | Mar 14, 2020 | SchedulingSpecificity | —Unverified | 0 |
| Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks | Mar 1, 2024 | Earth ObservationGraph Neural Network | —Unverified | 0 |
| Toward Efficient Task Planning for Dual-Arm Tabletop Object Rearrangement | Jul 17, 2022 | ObjectObject Rearrangement | —Unverified | 0 |
| Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging | Feb 1, 2023 | Decision MakingScheduling | —Unverified | 0 |
| Towards an ASP-Based Architecture for Autonomous UAVs in Dynamic Environments (Extended Abstract) | May 21, 2014 | Scheduling | —Unverified | 0 |
| Towards A Unified Agent with Foundation Models | Jul 18, 2023 | Efficient ExplorationReinforcement Learning (RL) | —Unverified | 0 |
| Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI | May 28, 2023 | Cloud ComputingScheduling | —Unverified | 0 |
| Towards Continually Learning Application Performance Models | Oct 25, 2023 | Scheduling | —Unverified | 0 |
| Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach | Jun 21, 2024 | CPUDeep Reinforcement Learning | —Unverified | 0 |
| Toward Secure and Private Over-the-Air Federated Learning | Oct 14, 2022 | Federated LearningScheduling | —Unverified | 0 |
| Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans | Nov 17, 2019 | Scheduling | —Unverified | 0 |
| Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels | Dec 13, 2022 | Decision MakingScheduling | —Unverified | 0 |
| ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving | Feb 2, 2025 | DecoderGPU | —Unverified | 0 |
| Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity | May 25, 2020 | Federated LearningScheduling | —Unverified | 0 |
| Towards Energy and Time Efficient Resource Allocation in IoT-Fog-Cloud Environment | Sep 20, 2019 | Cloud ComputingScheduling | —Unverified | 0 |
| Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods | Feb 28, 2023 | DenoisingDisentanglement | —Unverified | 0 |
| Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning | Feb 9, 2024 | Deep Reinforcement LearningManagement | —Unverified | 0 |
| Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling | Oct 4, 2022 | Inductive BiasScheduling | —Unverified | 0 |
| Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges | Feb 27, 2021 | Scheduling | —Unverified | 0 |
| Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem | Jun 26, 2022 | Multiobjective OptimizationScheduling | —Unverified | 0 |
| Toward Smart Scheduling in Tapis | Aug 5, 2024 | Scheduling | —Unverified | 0 |
| Towards model predictive control of supercritical CO2 cycles | Aug 27, 2021 | modelModel Predictive Control | —Unverified | 0 |
| Towards net-zero manufacturing: carbon-aware scheduling for GHG emissions reduction | Mar 3, 2025 | Scheduling | —Unverified | 0 |
| Towards Optimal System Scheduling with Synthetic Inertia Provision from Wind Turbines | May 11, 2020 | Scheduling | —Unverified | 0 |
| Towards Practical Deep Schedulers for Allocating Cellular Radio Resources | Nov 13, 2024 | Deep Reinforcement LearningReinforcement Learning (RL) | —Unverified | 0 |
| Towards Resource-Efficient Compound AI Systems | Jan 28, 2025 | Decision MakingManagement | —Unverified | 0 |
| Towards Robust and Scalable Dispatch Modeling of Long-Duration Energy Storage | Jan 29, 2024 | Scheduling | —Unverified | 0 |
| Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning | Jul 4, 2021 | Federated LearningScheduling | —Unverified | 0 |
| Towards Secure and Efficient Data Scheduling for Vehicular Social Networks | Jun 28, 2024 | Q-LearningScheduling | —Unverified | 0 |
| Towards Sustainable Satellite Edge Computing | Mar 10, 2022 | Earth ObservationEdge-computing | —Unverified | 0 |
| Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework | Jun 13, 2024 | Scheduling | —Unverified | 0 |
| Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning | Dec 30, 2020 | Distributed OptimizationFairness | —Unverified | 0 |
| Abstracting the Traffic of Nonlinear Event-Triggered Control Systems | Oct 23, 2020 | Scheduling | —Unverified | 0 |
| Traffic Abstractions of Nonlinear Homogeneous Event-Triggered Control Systems | Mar 20, 2020 | Scheduling | —Unverified | 0 |
| Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models | Jan 24, 2024 | Deep Reinforcement LearningManagement | —Unverified | 0 |
| TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning | Dec 16, 2024 | Federated LearningScheduling | —Unverified | 0 |
| TrainMover: An Interruption-Resilient and Reliable ML Training Runtime | Dec 17, 2024 | ManagementScheduling | —Unverified | 0 |
| Trajectory planning for autonomous intersection management of connected vehicles | Oct 5, 2018 | Autonomous VehiclesManagement | —Unverified | 0 |
| Tramp Ship Scheduling Problem with Berth Allocation Considerations and Time-dependent Constraints | May 4, 2017 | Scheduling | —Unverified | 0 |
| Transfer Deep Reinforcement Learning-based Large-scale V2G Continuous Charging Coordination with Renewable Energy Sources | Oct 13, 2022 | Deep Reinforcement LearningScheduling | —Unverified | 0 |
| Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning | Jul 17, 2025 | Scheduling | —Unverified | 0 |
| Transition Rate Scheduling for Quantization-Aware Training | Apr 30, 2024 | QuantizationScheduling | —Unverified | 0 |
| TransMamba: Flexibly Switching between Transformer and Mamba | Mar 31, 2025 | MambaScheduling | —Unverified | 0 |
| TRATSS: Transformer-Based Task Scheduling System for Autonomous Vehicles | Apr 7, 2025 | Autonomous VehiclesScheduling | —Unverified | 0 |
| Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach | Jul 8, 2019 | SchedulingTravel Time Estimation | —Unverified | 0 |
| Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation | Sep 1, 2024 | Domain AdaptationScheduling | —Unverified | 0 |
| Truth and Regret in Online Scheduling | Mar 1, 2017 | Scheduling | —Unverified | 0 |
| T-s3ra: traffic-aware scheduling for secure slicing and resource allocation in sdn/nfv enabled 5g networks | Jul 11, 2021 | Scheduling | —Unverified | 0 |