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 2401–2425 of 4891 papers

TitleStatusHype
Improving Out-of-Distribution Detection with Markov Logic Networks—0
Improving Prostate Gland Segmenting Using Transformer based Architectures—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients—0
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
Improving Significant Wave Height Prediction Using Chronos Models—0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
Improving STDP-based Visual Feature Learning with Whitening—0
Abstract Rendering: Computing All Seen in Gaussian Splat Scenes—0
Improving the affordability of robustness training for DNNs—0
Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints—0
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters—0
A kinetic approach to consensus-based segmentation of biomedical images—0
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection—0
Hierarchical Object-Centric Learning with Capsule Networks—0
Hierarchically Constrained Adaptive Ad Exposure in Feeds—0
Deep Signal Recovery with One-Bit Quantization—0
Incorporating Word Correlation Knowledge into Topic Modeling—0
Incremental Truncated LSTD—0
Indirect Query Bayesian Optimization with Integrated Feedback—0
Hierarchical Lexical Manifold Projection in Large Language Models: A Novel Mechanism for Multi-Scale Semantic Representation—0
Inference of epidemiological parameters from household stratified data—0
Inference of Haemoglobin Concentration From Stereo RGB—0
DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation—0
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control—0
Show:102550
← PrevPage 97 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified