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 1251–1275 of 4891 papers

TitleStatusHype
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and ClusteringCode0
Functional Autoencoder for Smoothing and Representation LearningCode0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and PromptsCode0
AlgebraNetsCode0
Detection of circular permutations by Protein Language ModelsCode0
Augmented Memory for Correlation Filters in Real-Time UAV TrackingCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Development of a skateboarding trick classifier using accelerometry and machine learningCode0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
HAND: Hierarchical Attention Network for Multi-Scale Handwritten Document Recognition and Layout AnalysisCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Gaussian Mixture Reduction with Composite Transportation DivergenceCode0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided EmbeddingCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Attentional Correlation Filter Network for Adaptive Visual TrackingCode0
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning TrainingCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified