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Showing 226–250 of 3104 papers

TitleStatusHype
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network EmbeddingCode1
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertaintyCode1
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable SurrogatesCode1
Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUsCode1
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkCode1
Clockwork Convnets for Video Semantic SegmentationCode1
A Fully Adaptive DRO Multistage Framework Based on MDR for Generation Scheduling under UncertaintyCode1
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental PlatformsCode1
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal SchedulingCode1
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional PipelinesCode1
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) PlanningCode1
Combinatorial Optimization with Policy Adaptation using Latent Space SearchCode1
Brain-to-Text Benchmark '24: Lessons LearnedCode1
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge NetworksCode1
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-DesignCode1
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line SystemsCode1
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural NetworkCode1
Automated Learning Rate Scheduler for Large-batch TrainingCode1
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference PipelineCode1
RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous DrivingCode1
AdaNAT: Exploring Adaptive Policy for Token-Based Image GenerationCode1
Sampler Scheduler for Diffusion ModelsCode1
Saturn: An Optimized Data System for Large Model Deep Learning WorkloadsCode1
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learningCode1
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU DatacentersCode1
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