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Showing 2601–2650 of 3104 papers

TitleStatusHype
Learning to Multi-Task Learn for Better Neural Machine Translation—0
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline—0
Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function Value—0
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—0
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference—0
Value of structural health information in partially observable stochastic environments—0
Supervised-learning-based Optimal Thermal Management in an Electric Vehicle—0
CProp: Adaptive Learning Rate Scaling from Past Gradient ConformityCode0
The uncertain surgery time in integrated sequencing, planning and scheduling problem of the surgical ward—0
Deep Reinforcement Learning for Smart Home Energy Management—0
Efficient Error-Tolerant Quantized Neural Network Accelerators—0
Variational Learning with Disentanglement-PyTorchCode0
Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning—0
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPSCode1
Data-driven sensor scheduling for remote estimation in wireless networks—0
Enabling Machine Learning-Ready HPC Ensembles with Merlin—0
Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks—0
Work-in-progress: a deep learning strategy for I/O scheduling in storage systemsCode0
Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences—0
The Parameterized Complexity of Cascading Portfolio Scheduling—0
Staying up to Date with Online Content Changes Using Reinforcement Learning for SchedulingCode1
Data-Driven Optimization of Public Transit Schedule—0
Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks—0
Demand Side Management for Homes in Smart Grids—0
Intelligent Resource Scheduling for Co-located Latency-critical Services: A Multi-Model Collaborative Learning Approach—0
Smart Predict-and-Optimize for Hard Combinatorial Optimization ProblemsCode0
On an Optimal Solution to the Film Scheduling and Showtime Staggering Problem—0
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks—0
Optimal V2G and Route Scheduling of Mobile Energy Storage Devices Using a Linear Transit Model to Reduce Electricity and Transportation Energy Losses—0
RadioUNet: Fast Radio Map Estimation with Convolutional Neural NetworksCode0
Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans—0
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach—0
Variational Learning with Disentanglement-PyTorchCode0
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid—0
Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Schedule Earth Observation satellites with Deep Reinforcement Learning—0
Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling—0
Throughput Prediction of Asynchronous SGD in TensorFlow—0
Using Deep Neural Networks for Estimating Loop Unrolling Factor—0
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach—0
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter TuningCode0
Deep Flow Collaborative Network for Online Visual Tracking—0
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Network—0
Device Scheduling with Fast Convergence for Wireless Federated Learning—0
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data—0
Federated Learning with Differential Privacy: Algorithms and Performance Analysis—0
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning—0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
Long-term Joint Scheduling for Urban TrafficCode0
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