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 3651–3675 of 4891 papers

TitleStatusHype
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
A Survey on Graph Condensation—0
A Survey on Kolmogorov-Arnold Network—0
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models—0
A Survey on Computationally Efficient Neural Architecture Search—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example—0
A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation—0
Asymptotic Linearity of Consumption Functions and Computational Efficiency—0
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization—0
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—0
Asynchronous Perception-Action-Communication with Graph Neural Networks—0
Comparing large language models and human programmers for generating programming code—0
A Targeted Acceleration and Compression Framework for Low bit Neural Networks—0
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration—0
A Technical Study into Small Reasoning Language Models—0
A Temporal-oriented Broadcast ResNet for COVID-19 Detection—0
A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network—0
A Tiered GAN Approach for Monet-Style Image Generation—0
A Time Splitting Based Optimization Method for Nonlinear MHE—0
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks—0
A tree-based kernel for graphs with continuous attributes—0
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified