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 1826–1850 of 4891 papers

TitleStatusHype
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation—0
Theory of Mixture-of-Experts for Mobile Edge Computing—0
Real-Time Tea Leaf Disease Detection Using Deep Learning-Based ModelsCode0
A New Proof for the Linear Filtering and Smoothing Equations, and Asymptotic Expansion of Nonlinear Filtering—0
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
Less is More: Towards Green Code Large Language Models via Unified Structural Pruning—0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization—0
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline—0
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving—0
Optimization of Beyond Diagonal RIS: A Universal Framework Applicable to Arbitrary Architectures—0
A Computational Model of Learning and Memory Using Structurally Dynamic Cellular Automata—0
Consistent Human Image and Video Generation with Spatially Conditioned DiffusionCode0
Rethinking Uncertainty Estimation in Natural Language Generation—0
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration—0
Enhancing Diffusion Models for High-Quality Image Generation—0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
Surrogate-assisted multi-objective design of complex multibody systems—0
From Point to probabilistic gradient boosting for claim frequency and severity prediction—0
Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization—0
Subspace Langevin Monte Carlo—0
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting—0
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting ApproachCode0
E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified