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 126–150 of 4891 papers

TitleStatusHype
Accelerating Spectral Clustering under Fairness Constraints—0
Simultaneous Segmentation of Ventricles and Normal/Abnormal White Matter Hyperintensities in Clinical MRI using Deep Learning—0
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models—0
Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and PromptsCode0
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules—0
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation—0
Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder LayersCode0
SDS-Net: Shallow-Deep Synergism-detection Network for infrared small target detectionCode1
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation—0
Efficient Robust Conformal Prediction via Lipschitz-Bounded NetworksCode0
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEsCode1
TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models—0
SF^2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida—0
An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian—0
Pruning Everything, Everywhere, All at OnceCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs—0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation—0
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution—0
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies—0
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified