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 1476–1500 of 4891 papers

TitleStatusHype
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer PruningCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural NetworkCode0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised LearningCode0
Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit FieldsCode0
Analyzing Large Language Models for Classroom Discussion AssessmentCode0
Efficient and Accurate Full-Waveform Inversion with Total Variation ConstraintCode0
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyCode0
Assessing Human Editing Effort on LLM-Generated Texts via Compression-Based Edit DistanceCode0
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive UncertaintiesCode0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained ModelsCode0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Efficient and principled score estimation with Nyström kernel exponential familiesCode0
Online Human Action Detection using Joint Classification-Regression Recurrent Neural NetworksCode0
Online Physics-Informed Dynamic Mode Decomposition: Theory and ApplicationsCode0
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPICode0
A Spatially-Aware Multiple Instance Learning Framework for Digital PathologyCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier SeriesCode0
FastLexRank: Efficient Lexical Ranking for Structuring Social Media PostsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified