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 1201–1225 of 4891 papers

TitleStatusHype
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
A Low-complexity Structured Neural Network to Realize States of Dynamical SystemsCode0
Generative Archimedean CopulasCode0
Supervised Dimensionality Reduction for Big DataCode0
AdamNODEs: When Neural ODE Meets Adaptive Moment EstimationCode0
Gaussian Mixture Reduction with Composite Transportation DivergenceCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI DataCode0
A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained SettingsCode0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Augmented Memory for Correlation Filters in Real-Time UAV TrackingCode0
Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and PromptsCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy ReductionCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Functional Autoencoder for Smoothing and Representation LearningCode0
AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing GraphsCode0
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and ClusteringCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified