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 4626–4650 of 4891 papers

TitleStatusHype
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image ClassificationCode0
A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization FactorsCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic ForecastingCode0
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyCode0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural BehaviorCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
A Universal Framework for Featurization of Atomistic SystemsCode0
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RLCode0
Slicing Unbalanced Optimal TransportCode0
SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor SegmentationCode0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et ApplicationsCode0
Compact Convolutional Neural Network Cascade for Face DetectionCode0
COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel SegmentationCode0
Generalized Random Forests using Fixed-Point TreesCode0
Discovering and Deciphering Relationships Across Disparate Data ModalitiesCode0
Superpixel Segmentation Using Gaussian Mixture ModelCode0
Modeling non-linear Effects with Neural Networks in Relational Event ModelsCode0
Q-S5: Towards Quantized State Space ModelsCode0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Sequential Monte Carlo Squared for online inference in stochastic epidemic modelsCode0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified