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 821–830 of 4891 papers

TitleStatusHype
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection—0
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen BindingCode0
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage—0
TopK Language Models—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified