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 1201–1250 of 4891 papers

TitleStatusHype
AlphaAdam:Asynchronous Masked Optimization with Dynamic Alpha for Selective UpdatesCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Learning Gaussian Graphical Models with Ordered Weighted L1 RegularizationCode0
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
Granular Ball Twin Support Vector MachineCode0
A Low-complexity Structured Neural Network to Realize States of Dynamical SystemsCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
AdamNODEs: When Neural ODE Meets Adaptive Moment EstimationCode0
Gaussian Mixture Reduction with Composite Transportation DivergenceCode0
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
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
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
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy ReductionCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
Novel Deep Neural OFDM Receiver Architectures for LLR EstimationCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Depth-Based Object Tracking Using a Robust Gaussian FilterCode0
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsCode0
Generative Archimedean CopulasCode0
Supervised Dimensionality Reduction for Big DataCode0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problemsCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing GraphsCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
Delayed Memory Unit: Modelling Temporal Dependency Through Delay GateCode0
AdaBatch: Adaptive Batch Sizes for Training Deep Neural NetworksCode0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified