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 3501–3510 of 4891 papers

TitleStatusHype
Multivariate Time Series Forecasting with Latent Graph Inference—0
E-detectors: a nonparametric framework for sequential change detectionCode0
A Multi-Document Coverage Reward for RELAXed Multi-Document SummarizationCode0
Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep—0
On consistency of constrained spectral clustering under representation-aware stochastic block model—0
Multi-Objective System-by-Design for mm-Wave Automotive Radar Antennas—0
Learning Stochastic Parametric Differentiable Predictive Control Policies—0
Faith-Shap: The Faithful Shapley Interaction IndexCode1
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
HyperPrompt: Prompt-based Task-Conditioning of Transformers—0
Show:102550
← PrevPage 351 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified