SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 681–690 of 4891 papers

TitleStatusHype
Advances in 4D Generation: A SurveyCode2
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
Modular Distributed Nonconvex Learning with Error Feedback—0
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion—0
TriLiteNet: Lightweight Model for Multi-Task Visual PerceptionCode1
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems—0
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network—0
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data—0
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language ModelsCode2
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking PortraitCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified