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Papers

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Showing 51–100 of 3104 papers

TitleStatusHype
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)Code2
RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-WorldCode2
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics LearningCode2
ChaCha for Online AutoMLCode2
Demystifying and Enhancing the Efficiency of Large Language Model Based Search AgentsCode2
AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware PlatformsCode2
AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real WorldCode2
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video EditingCode2
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUsCode2
Learning to Solve Job Shop Scheduling under UncertaintyCode2
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further TuningCode2
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor ProgramsCode2
Human-in-the-Loop Large-Scale Predictive Maintenance of WorkstationsCode2
BMInf: An Efficient Toolkit for Big Model Inference and TuningCode2
ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm EngineeringCode2
evosax: JAX-based Evolution StrategiesCode2
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource AllocationCode2
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE InferenceCode2
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic VideosCode1
Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent VisibilityCode1
End-to-End Stochastic Optimization with Energy-Based ModelCode1
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting EpidemicsCode1
Adaptive Deep Neural Network Inference Optimization with EENetCode1
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement LearningCode1
DynaPipe: Optimizing Multi-task Training through Dynamic PipelinesCode1
Dynamics-incorporated Modeling Framework for Stability Constrained Scheduling Under High-penetration of Renewable EnergyCode1
Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement LearningCode1
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length PredictionCode1
Episodic Policy Gradient TrainingCode1
DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoVCode1
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented DialogCode1
Distributed Scheduling using Graph Neural NetworksCode1
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
Dynamic GPU Energy Optimization for Machine Learning Training WorkloadsCode1
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable SurrogatesCode1
Differentiable Combinatorial Scheduling at ScaleCode1
Digital Transformation in the Water Distribution System based on the Digital Twins ConceptCode1
Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image PairsCode1
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical CareCode1
DEPTS: Deep Expansion Learning for Periodic Time Series ForecastingCode1
Distributed Online Service Coordination Using Deep Reinforcement LearningCode1
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural NetworksCode1
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital HealthCode1
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level OptimizationCode1
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on GraphsCode1
Deep Reinforcement Agent for Scheduling in HPCCode1
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertaintyCode1
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource SchedulingCode1
Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long ContextsCode1
Decentralized Training of Foundation Models in Heterogeneous EnvironmentsCode1
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