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
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior—0
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation—0
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems—0
Accurate and scalable exchange-correlation with deep learning—0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic EnvironmentsCode0
sHGCN: Simplified hyperbolic graph convolutional neural networksCode0
Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection—0
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping—0
Hybrid Polynomial Zonotopes: A Set Representation for Reachability Analysis in Hybrid Nonaffine Systems—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models—0
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated LearningCode0
Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localizations for better covariance estimation—0
A Memetic Walrus Algorithm with Expert-guided Strategy for Adaptive Curriculum Sequencing—0
Avoiding Obfuscation with Prover-Estimator Debate—0
Improving Prostate Gland Segmenting Using Transformer based Architectures—0
IKDiffuser: A Generative Inverse Kinematics Solver for Multi-arm Robots via Diffusion Model—0
A Technical Study into Small Reasoning Language Models—0
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models—0
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified