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 3701–3725 of 4891 papers

TitleStatusHype
Multimodal Topic Learning for Video Recommendation—0
Multi-objective beetle antennae search algorithm—0
Multi-Objective System-by-Design for mm-Wave Automotive Radar Antennas—0
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting—0
Multiphase flow prediction with deep neural networks—0
Multi-Resolution Planar Region Extraction for Uneven Terrains—0
Multi-Resolution Subspace-Based Optimization Method for the Retrieval of 2D Perfect Electric Conductors—0
Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering—0
Multiscale Adaptive Representation of Signals: I. The Basic Framework—0
Multiscale Causal Structure Learning—0
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding—0
Multi-scale Graph Convolutional Networks with Self-Attention—0
Multiscale lubrication simulation based on fourier feature networks with trainable frequency—0
Multi-scale Octave Convolutions for Robust Speech Recognition—0
Multi-scale Unified Network for Image Classification—0
Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography—0
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization—0
Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame—0
Multi-target regression via output space quantization—0
Multitask Learning via Shared Features: Algorithms and Hardness—0
Multi-task nonparallel support vector machine for classification—0
Multivariate Time Series Forecasting with Latent Graph Inference—0
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach—0
Multi-view learning for automatic classification of multi-wavelength auroral images—0
Music Consistency Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified