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 1901–1950 of 4891 papers

TitleStatusHype
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics—0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA—0
A Clustering Method with Graph Maximum Decoding Information—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Feature-Specific Coefficients of Determination in Tree Ensembles—0
Feature subset selection for kernel SVM classification via mixed-integer optimization—0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—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
Fairness-aware Classification: Criterion, Convexity, and Bounds—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
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision 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
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—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
Federated Smoothing ADMM for Localization—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization—0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
Extrinsic Fluctuations in the p53 Cycle—0
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation—0
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
Extreme Value k-means Clustering—0
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications—0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
Few-Shot Data-Driven Algorithms for Low Rank Approximation—0
Extracting Optimal Solution Manifolds using Constrained Neural Optimization—0
Extracting man-made objects from remote sensing images via fast level set evolutions—0
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs—0
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes—0
CNN Mixture-of-Depths—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
Finding Statistically Significant Interactions between Continuous Features—0
Anomaly Detection with Tensor Networks—0
Advanced Deep Learning Techniques for Analyzing Earnings Call Transcripts: Methodologies and Applications—0
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance—0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement—0
Show:102550
← PrevPage 39 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified