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 1571–1580 of 4891 papers

TitleStatusHype
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria RecommendationCode0
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria RecommendationCode0
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAsCode0
Efficient Quantification and Representation of Aggregate Flexibility in Electric VehiclesCode0
CRISP: Hybrid Structured Sparsity for Class-aware Model PruningCode0
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flowCode0
Faithful Group Shapley ValueCode0
Recurrent Localization Networks applied to the Lippmann-Schwinger EquationCode0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified