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 1751–1800 of 4891 papers

TitleStatusHype
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
Compositionally-Warped Gaussian Processes—0
Composite Marginal Likelihood Methods for Random Utility Models—0
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
Composite Event Recognition for Maritime Monitoring—0
Composing MPC with LQR and Neural Network for Amortized Efficiency and Stable Control—0
A Physics-informed machine learning model for time-dependent wave runup prediction—0
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data—0
Advancing Physics Data Analysis through Machine Learning and Physics-Informed Neural Networks—0
Composable Cross-prompt Essay Scoring by Merging Models—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
Complexity-Driven CNN Compression for Resource-constrained Edge AI—0
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications—0
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units—0
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising—0
A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
Comparative Study of Neural Network Methods for Solving Topological Solitons—0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes—0
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection—0
Comparative Study of MPPT and Parameter Estimation of PV cells—0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
A parsimonious, computationally efficient machine learning method for spatial regression—0
Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays—0
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks—0
Advancing Diffusion Models: Alias-Free Resampling and Enhanced Rotational Equivariance—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation—0
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs—0
A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems—0
3D Shape Reconstruction From Images in the Frequency Domain—0
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits—0
Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification—0
Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime—0
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks—0
Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models—0
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators—0
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care—0
Community detection by spectral methods in multi-layer networks—0
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks—0
Communication-Efficient Distributed Statistical Inference—0
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
A novel shape matching descriptor for real-time hand gesture recognition—0
Combining the band-limited parameterization and Semi-Lagrangian Runge--Kutta integration for efficient PDE-constrained LDDMM—0
Show:102550
← PrevPage 36 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified