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 1131–1140 of 4891 papers

TitleStatusHype
GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection—0
KM-UNet KAN Mamba UNet for medical image segmentationCode1
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso—0
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language ModelsCode2
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit—0
Quaternionic Reweighted Amplitude Flow for Phase Retrieval in Image Reconstruction—0
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes—0
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data—0
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo AlignmentCode2
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy LabelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified