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 2726–2750 of 4891 papers

TitleStatusHype
Considerations in the use of ML interaction potentials for free energy calculationsCode0
Sparse Implementation of Versatile Graph-Informed LayersCode0
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition—0
Community detection by spectral methods in multi-layer networks—0
Neural Parameter Regression for Explicit Representations of PDE Solution Operators—0
XPose: eXplainable Human Pose Estimation—0
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness—0
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection—0
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices—0
Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models—0
A Clustering Method with Graph Maximum Decoding Information—0
Learning Dynamical Systems Encoding Non-Linearity within Space CurvatureCode0
Zero-Shot Multi-task Hallucination Detection—0
Improving LoRA in Privacy-preserving Federated Learning—0
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units—0
The Role of Extended Horizon Methodology in Renewable-Dense Grids With Inter-Day Long-Duration Energy Storage—0
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection—0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
Machine learning-based system reliability analysis with Gaussian Process Regression—0
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image RegistrationCode0
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings—0
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified