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 2851–2900 of 4891 papers

TitleStatusHype
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion—0
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations—0
STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking—0
Star with Bilinear Mapping—0
State estimation of a carbon capture process through POD model reduction and neural network approximation—0
Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation—0
Statistical and computational trade-offs in estimation of sparse principal components—0
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
Statistically Consistent Saliency Estimation—0
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix—0
Statistical Optimality and Computational Efficiency of Nyström Kernel PCA—0
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation—0
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring—0
Stellar parameter prediction and spectral simulation using machine learning—0
STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search—0
Stiff Transfer Learning for Physics-Informed Neural Networks—0
STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing—0
ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction—0
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting—0
Stochastic Approximation Algorithms for Principal Component Analysis—0
Stochastic Carbon Footprint Tracing Methods in Power Systems—0
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks—0
Stochastic Graph Bandit Learning with Side-Observations—0
Stochastic Layer-Wise Precision in Deep Neural Networks—0
Stochastic Local Interaction (SLI) Model: Interfacing Machine Learning and Geostatistics—0
Stochastic MPC with Multi-modal Predictions for Traffic Intersections—0
Stochastic Natural Thresholding Algorithms—0
Stochastic Optimal Operation of the VSC-MTDC System with FACTS Devices to Integrate Wind Power—0
Stochastic parameter reduced-order model based on hybrid machine learning approaches—0
Stochastic PCA with _2 and _1 Regularization—0
Stochastic Primal-Dual Deep Unrolling—0
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking—0
Stochastic Gradient Sampling for Enhancing Neural Networks Training—0
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis—0
Straightening skewed markets with an index tracking optimizationless portfolio—0
STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization—0
Streaming on-device detection of device directed speech from voice and touch-based invocation—0
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images—0
Structural Correlation Filter for Robust Visual Tracking—0
Structural Embedding Projection for Contextual Large Language Model Inference—0
Structural feature enhanced transformer for fine-grained image recognition—0
Structural Latency Perturbation in Large Language Models Through Recursive State Induction—0
Structural plasticity on an accelerated analog neuromorphic hardware system—0
Structured Aspect Extraction—0
Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare—0
Structured Convergence in Large Language Model Representations via Hierarchical Latent Space Folding—0
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization—0
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction—0
Structured Singular Value of a Repeated Complex Full-Block Uncertainty—0
Structureless VIO—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified