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

Showing 901950 of 4891 papers

TitleStatusHype
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis0
Combinatorial Attacks on Binarized Neural Networks0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching0
Data-driven Power Flow Linearization: Simulation0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration0
Advances and Open Challenges in Federated Foundation Models0
Collaborative Learning with Different Labeling Functions0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization0
A Novel and Optimal Spectral Method for Permutation Synchronization0
Combining GCN Structural Learning with LLM Chemical Knowledge for or Enhanced Virtual Screening0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers0
Combining Retrospective Approximation with Importance Sampling for Optimising Conditional Value at Risk0
Combining the band-limited parameterization and Semi-Lagrangian Runge--Kutta integration for efficient PDE-constrained LDDMM0
A Clustering Method with Graph Maximum Decoding Information0
A novel shape matching descriptor for real-time hand gesture recognition0
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing0
Communication-Efficient Distributed Statistical Inference0
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks0
Community detection by spectral methods in multi-layer networks0
Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models0
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators0
Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime0
Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification0
Data-driven Power Flow Linearization: Theory0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach0
Collaborative Group Learning0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support0
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks0
Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition0
Comparative Study of MPPT and Parameter Estimation of PV cells0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark0
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems0
Complexity-Driven CNN Compression for Resource-constrained Edge AI0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations0
Composable Cross-prompt Essay Scoring by Merging Models0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA0
Composite Event Recognition for Maritime Monitoring0
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies0
Composite Marginal Likelihood Methods for Random Utility Models0
Coil Sketching for computationally-efficient MR iterative reconstruction0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method0
Cognitive maps are generative programs0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified