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 3501–3550 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
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture SearchCode0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials—0
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
On the Complexity of Winner Determination and Strategic Control in Conditional Approval Voting—0
Mold into a Graph: Efficient Bayesian Optimization over Mixed-SpacesCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Differentially Private Community Detection for Stochastic Block Models—0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
Bioinspired Cortex-based Fast Codebook Generation—0
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound ImagesCode0
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
Learning Neural Contextual Bandits Through Perturbed Rewards—0
Ab Initio Nucleic Acid Folding Simulations Using a Physics-Based Atomistic Free Energy Model—0
On Evaluation Metrics for Graph Generative ModelsCode1
Credit Valuation Adjustment with Replacement Closeout: Theory and Algorithms—0
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint—0
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR—0
Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means ClusteringCode0
Nonparametric Feature Selection by Random Forests and Deep Neural Networks—0
Deep convolutional neural network for shape optimization using level-set approachCode0
An MRC Framework for Semantic Role Labeling—0
Recursive Least Squares Advantage Actor-Critic Algorithms—0
Study of Frequency domain exponential functional link network filters—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified