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 561–570 of 4891 papers

TitleStatusHype
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language TranslationCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
FViT: A Focal Vision Transformer with Gabor FilterCode1
A State-Space Perspective on Modelling and Inference for Online Skill RatingCode1
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityCode1
A Survey of World Models for Autonomous DrivingCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified