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 351–360 of 4891 papers

TitleStatusHype
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
An empirical evaluation of functional alignment using inter-subject decodingCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm RegularizationsCode1
DynamicDet: A Unified Dynamic Architecture for Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified