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 926–950 of 4891 papers

TitleStatusHype
Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification—0
Data-driven Power Flow Linearization: Theory—0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
Collaborative Group Learning—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks—0
Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays—0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
Comparative Study of MPPT and Parameter Estimation of PV cells—0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising—0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems—0
Complexity-Driven CNN Compression for Resource-constrained Edge AI—0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
Composable Cross-prompt Essay Scoring by Merging Models—0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA—0
Composite Event Recognition for Maritime Monitoring—0
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies—0
Composite Marginal Likelihood Methods for Random Utility Models—0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method—0
Cognitive maps are generative programs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified