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 3451–3475 of 4891 papers

TitleStatusHype
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation—0
ConvMAE: Masked Convolution Meets Masked AutoencodersCode2
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review—0
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network—0
Scalable computation of prediction intervals for neural networks via matrix sketching—0
PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis—0
ImPosing: Implicit Pose Encoding for Efficient Visual Localization—0
DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation—0
Scalable Regularised Joint Mixture ModelsCode0
Optimal Thermal Management, Charging, and Eco-driving of Battery Electric Vehicles—0
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural NetworksCode1
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Novel optimized crow search algorithm for feature selectionCode0
Ultra Fast Speech Separation Model with Teacher Student Learning—0
SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible ImagesCode1
Adversarial Contrastive Learning by Permuting Cluster Assignments—0
Toward Fast, Flexible, and Robust Low-Light Image EnhancementCode2
Working memory inspired hierarchical video decomposition with transformative representationsCode0
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs—0
RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology—0
Label Efficient Regularization and Propagation for Graph Node Classification—0
Fast Multi-grid Methods for Minimizing Curvature EnergyCode0
FasterVideo: Efficient Online Joint Object Detection And TrackingCode0
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified