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 1201–1225 of 4891 papers

TitleStatusHype
GAS: Generative Auto-bidding with Post-training Search—0
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising—0
Large Language Model Can Be a Foundation for Hidden Rationale-Based RetrievalCode0
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba—0
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation—0
A New Proof for the Linear Filtering and Smoothing Equations, and Asymptotic Expansion of Nonlinear Filtering—0
Real-Time Tea Leaf Disease Detection Using Deep Learning-Based ModelsCode0
A Computational Model of Learning and Memory Using Structurally Dynamic Cellular Automata—0
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
Optimization of Beyond Diagonal RIS: A Universal Framework Applicable to Arbitrary Architectures—0
LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty GuidanceCode1
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation—0
Theory of Mixture-of-Experts for Mobile Edge Computing—0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization—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
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline—0
Less is More: Towards Green Code Large Language Models via Unified Structural Pruning—0
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving—0
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration—0
Consistent Human Image and Video Generation with Spatially Conditioned DiffusionCode0
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
Rethinking Uncertainty Estimation in Natural Language Generation—0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified