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 2876–2900 of 4891 papers

TitleStatusHype
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