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 851–875 of 4891 papers

TitleStatusHype
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)—0
YOLOv12: A Breakdown of the Key Architectural Features—0
H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical ImagingCode1
Fast and Accurate Blind Flexible DockingCode2
Fundamental Survey on Neuromorphic Based Audio Classification—0
Exploiting Deblurring Networks for Radiance FieldsCode1
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly—0
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable AutoencodersCode2
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification—0
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization—0
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment—0
Moshi Moshi? A Model Selection Hijacking Adversarial Attack—0
Triply Laplacian Scale Mixture Modeling for Seismic Data Noise SuppressionCode0
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm—0
Investigating Non-Transitivity in LLM-as-a-Judge—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
SegRet: An Efficient Design for Semantic Segmentation with Retentive NetworkCode0
Risk-Sensitive Security-Constrained Economic Dispatch: Pricing and Algorithm Design—0
ThinkGuard: Deliberative Slow Thinking Leads to Cautious GuardrailsCode0
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs—0
HeadInfer: Memory-Efficient LLM Inference by Head-wise OffloadingCode2
Activation-wise Propagation: A Universal Strategy to Break Timestep Constraints in Spiking Neural Networks for 3D Data Processing—0
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints—0
Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models—0
Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified