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 1201–1250 of 4891 papers

TitleStatusHype
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical featuresCode0
Regist3R: Incremental Registration with Stereo Foundation Model—0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions—0
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data—0
Contract-based hierarchical control using predictive feasibility value functions—0
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
QAMA: Quantum annealing multi-head attention operator with classical deep learning framework—0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting—0
A Signal Matrix-Based Local Flaw Detection Framework for Steel Wire Ropes Using Convolutional Neural Networks—0
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model—0
Computationally Efficient State and Model Estimation via Interval Observers for Partially Unknown Systems—0
Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics—0
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction—0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Integrated GARCH-GRU in Financial Volatility Forecasting—0
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction—0
Slicing the Gaussian Mixture Wasserstein DistanceCode0
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application—0
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition—0
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges—0
Successive Jump and Mode Decomposition—0
SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light-Field Microscopy—0
Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision SystemCode0
Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language ModelsCode0
Search-contempt: a hybrid MCTS algorithm for training AlphaZero-like engines with better computational efficiency—0
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring—0
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes—0
How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension—0
Gradient-based Sample Selection for Faster Bayesian Optimization—0
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology—0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching—0
Regret Bounds for Robust Online Decision Making—0
Distilling Textual Priors from LLM to Efficient Image FusionCode0
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems—0
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care—0
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
Neural network-enhanced integrators for simulating ordinary differential equations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified