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
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
An Efficient Approach to Encoding Context for Spoken Language Understanding—0
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses—0
An Efficient FPGA Accelerator for Point Cloud—0
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
An Efficient Privacy-aware Split Learning Framework for Satellite Communications—0
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
An efficient search-and-score algorithm for ancestral graphs using multivariate information scores—0
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training—0
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention—0
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions—0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified