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

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Showing 1251–1300 of 4891 papers

TitleStatusHype
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy ReductionCode0
AdaBatch: Adaptive Batch Sizes for Training Deep Neural NetworksCode0
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip StatisticsCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
Generative Archimedean CopulasCode0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
Development of a skateboarding trick classifier using accelerometry and machine learningCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
AlgebraNetsCode0
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided EmbeddingCode0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
Attentional Correlation Filter Network for Adaptive Visual TrackingCode0
A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning TrainingCode0
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated FeaturesCode0
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
Free Parametrization of L2-bounded State Space ModelsCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
DeepRTE: Pre-trained Attention-based Neural Network for Radiative TranferCode0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Diff-GO^n: Enhancing Diffusion Models for Goal-Oriented CommunicationsCode0
Studying K-FAC Heuristics by Viewing Adam through a Second-Order LensCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainCode0
Federated Hybrid Model Pruning through Loss Landscape ExplorationCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte CarloCode0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and AnnotationCode0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified