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

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Showing 31–40 of 4891 papers

TitleStatusHype
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and CollisionsCode2
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage—0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
TopK Language Models—0
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen BindingCode0
FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified