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 2301–2325 of 4891 papers

TitleStatusHype
Medical Image Data Provenance for Medical Cyber-Physical System—0
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models—0
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets—0
Considerations in the use of ML interaction potentials for free energy calculationsCode0
vid-TLDR: Training Free Token merging for Light-weight Video TransformerCode2
Sparse Implementation of Versatile Graph-Informed LayersCode0
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition—0
Neural Parameter Regression for Explicit Representations of PDE Solution Operators—0
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection—0
XPose: eXplainable Human Pose Estimation—0
Community detection by spectral methods in multi-layer networks—0
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness—0
Enhancing Vision-Language Few-Shot Adaptation with Negative LearningCode1
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space ModelCode3
A Clustering Method with Graph Maximum Decoding Information—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
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection—0
Learning Dynamical Systems Encoding Non-Linearity within Space CurvatureCode0
Improving LoRA in Privacy-preserving Federated Learning—0
Zero-Shot Multi-task Hallucination Detection—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
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Machine learning-based system reliability analysis with Gaussian Process Regression—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified