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 376–400 of 4891 papers

TitleStatusHype
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM SelectionCode1
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems—0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization—0
Do global forecasting models require frequent retraining?—0
To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX—0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model—0
Fast and Low-Cost Genomic Foundation Models via Outlier RemovalCode1
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification—0
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead—0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising—0
Data-driven operator learning for energy-efficient building control—0
Generative QoE Modeling: A Lightweight Approach for Telecom Networks—0
Kernel Density Machines—0
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
DLCM: a versatile multi-level solver for heterogeneous multicellular systems—0
GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest—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
Cognitive maps are generative programs—0
Geometry-Informed Neural Operator TransformerCode1
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters—0
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression—0
Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information AnalysisCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified