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 3501–3525 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
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients—0
Residual Bootstrap Exploration for Stochastic Linear Bandit—0
CD-ROM: Complemented Deep-Reduced Order Model—0
HoneyModels: Machine Learning Honeypots—0
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural NetworkCode0
GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs—0
Guidelines and Evaluation of Clinical Explainable AI in Medical Image AnalysisCode1
Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes—0
Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition—0
Efficient Kernel UCB for Contextual BanditsCode0
Scale-free Unconstrained Online Learning for Curved Losses—0
Real-time decision-making for autonomous vehicles under faults—0
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified