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 1901–1925 of 4891 papers

TitleStatusHype
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Feature-Specific Coefficients of Determination in Tree Ensembles—0
Feature subset selection for kernel SVM classification via mixed-integer optimization—0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models—0
FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain—0
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data—0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly—0
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation—0
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization—0
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
Federated Learning for Short-term Residential Load Forecasting—0
Federated Learning for Sparse Principal Component Analysis—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
Federated Smoothing ADMM for Localization—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
Extrinsic Fluctuations in the p53 Cycle—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified