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 3651–3700 of 4891 papers

TitleStatusHype
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss—0
A study on the efficacy of model pre-training in developing neural text-to-speech system—0
Predictive Maintenance for General Aviation Using Convolutional Transformers—0
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Fast and Interpretable Consensus Clustering via Minipatch Learning—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
Graph Coloring: Comparing Cluster Graphs to Factor Graphs—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
Learn to Communicate with Neural Calibration: Scalability and Generalization—0
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural NetworksCode1
Equivariant Transformers for Neural Network based Molecular Potentials—0
Why does Negative Sampling not Work Well? Analysis of Convexity in Negative Sampling—0
Understanding the Variance Collapse of SVGD in High Dimensions—0
MAGNEx: A Model Agnostic Global Neural Explainer—0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION—0
Transformer-based Transform CodingCode1
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search—0
L-SR1 Adaptive Regularization by Cubics for Deep Learning—0
An Attention-LSTM Hybrid Model for the Coordinated Routing of Multiple Vehicles—0
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators—0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional dataCode0
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration—0
Fast Density Estimation for Density-based Clustering Methods—0
Formulations and Approximations of the Branch Flow Model for Mesh Power Networks—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
Improved optimization strategies for deep Multi-Task Networks—0
Stochastic MPC with Multi-modal Predictions for Traffic Intersections—0
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
AI Accelerator Survey and TrendsCode1
LOF: Structure-Aware Line Tracking based on Optical Flow—0
Deep Learning based Model-free Robust Load Restoration to Enhance Bulk System Resilience with Wind Power Penetration—0
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials—0
An MRC Framework for Semantic Role LabelingCode1
Towards a variational Jordan-Lee-Preskill quantum algorithm—0
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System—0
Robust Predictable Control—0
Near-Field Millimeter-Wave Imaging via Arrays in the Shape of Polyline—0
Voxel Transformer for 3D Object DetectionCode1
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated LearningCode0
Efficient Action Recognition Using Confidence Distillation—0
Cross-token Modeling with Conditional Computation—0
A review of Quantum Neural Networks: Methods, Models, Dilemma—0
Domain-Specific Japanese ELECTRA Model Using a Small Corpus—0
Backstepping Mean-Field Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems—0
Feature Analysis for Machine Learning-based IoT Intrusion Detection—0
Stochastic Optimal Operation of the VSC-MTDC System with FACTS Devices to Integrate Wind Power—0
CMML: Contextual Modulation Meta Learning for Cold-Start RecommendationCode0
Flikcer -- A Chrome Extension to Resolve Online Epileptogenic Visual Content with Real-Time Luminance Frequency Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified