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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1561–1570 of 4891 papers

TitleStatusHype
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting OperationCode0
Radon cumulative distribution transform subspace modeling for image classificationCode0
Cross-Context Backdoor Attacks against Graph Prompt LearningCode0
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin AttackCode0
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flowCode0
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting ApproachCode0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
Faithful Group Shapley ValueCode0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified