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 501–525 of 4891 papers

TitleStatusHype
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes—0
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring—0
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology—0
Search-contempt: a hybrid MCTS algorithm for training AlphaZero-like engines with better computational efficiency—0
Gradient-based Sample Selection for Faster Bayesian Optimization—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light-Field Microscopy—0
Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language ModelsCode0
Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision SystemCode0
Regret Bounds for Robust Online Decision Making—0
Distilling Textual Priors from LLM to Efficient Image FusionCode0
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching—0
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care—0
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?—0
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-IIICode3
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
Robo-taxi Fleet Coordination at Scale via Reinforcement LearningCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems—0
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation—0
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified