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 191–200 of 4891 papers

TitleStatusHype
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow MatchingCode2
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
AlphaNet: Scaling Up Local-frame-based Atomistic Interatomic PotentialCode2
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular FusionCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge DistillationCode2
Re-thinking Temporal Search for Long-Form Video UnderstandingCode2
Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementCode2
Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space CoverageCode2
A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint SpaceCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified