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 1301–1350 of 4891 papers

TitleStatusHype
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
DeepRTE: Pre-trained Attention-based Neural Network for Radiative TranferCode0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainCode0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsCode0
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and ClusteringCode0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Functional Autoencoder for Smoothing and Representation LearningCode0
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte CarloCode0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and AnnotationCode0
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
Dissecting FLOPs along input dimensions for GreenAI cost estimationsCode0
Free Parametrization of L2-bounded State Space ModelsCode0
Distance-Based Tree-Sliced Wasserstein DistanceCode0
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the SpectrumCode0
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated FeaturesCode0
Deep-learning the Latent Space of Light TransportCode0
A tensor network approach for chaotic time series predictionCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
A Temporal Linear Network for Time Series ForecastingCode0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic EnvironmentsCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Iterative Distributed Multinomial RegressionCode0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
Deep Learning for Early Alzheimer Disease Detection with MRI ScansCode0
Deep Learning Evidence for Global Optimality of Gerver's SofaCode0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive AdaptersCode0
Kernel Heterogeneity Improves Sparseness of Natural Images RepresentationsCode0
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware FusionCode0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse HypergraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified