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 1126–1150 of 4891 papers

TitleStatusHype
To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX—0
Do global forecasting models require frequent retraining?—0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model—0
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization—0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems—0
Kernel Density Machines—0
Generative QoE Modeling: A Lightweight Approach for Telecom Networks—0
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead—0
Data-driven operator learning for energy-efficient building control—0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising—0
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification—0
GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest—0
Cognitive maps are generative programs—0
DLCM: a versatile multi-level solver for heterogeneous multicellular systems—0
A Hybrid Mixture of t-Factor Analyzers for Clustering High-dimensional Data—0
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR—0
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression—0
Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning—0
Nonconvex Linear System Identification with Minimal State Representation—0
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation—0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation—0
PODNO: Proper Orthogonal Decomposition Neural Operators—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified