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 2401–2425 of 4891 papers

TitleStatusHype
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats—0
Activation-wise Propagation: A Universal Strategy to Break Timestep Constraints in Spiking Neural Networks for 3D Data Processing—0
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Efficient and Effective Deep Multi-view Subspace Clustering—0
Beyond the model: Key differentiators in large language models and multi-agent services—0
Efficient and Consistent Adversarial Bipartite Matching—0
An analysis of the derivative-free loss method for solving PDEs—0
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach—0
Accelerating Spectral Clustering under Fairness Constraints—0
Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction—0
Beyond Sentence-Level End-to-End Speech Translation: Context Helps—0
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Identifying and Analyzing Task-Encoding Tokens in Large Language Models—0
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization—0
Efficient Active Learning for Gaussian Process Classification by Error Reduction—0
Efficient Action Recognition Using Confidence Distillation—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
Efficiency in Real-time Webcam Gaze Tracking—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Effects of Reactive Social Distancing on the 1918 Influenza Pandemic—0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
Analytical results for uncertainty propagation through trained machine learning regression models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified