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 3601–3650 of 4891 papers

TitleStatusHype
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement—0
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow—0
A Survey on Computationally Efficient Neural Architecture Search—0
Searching for COMETINHO: The Little Metric That Could—0
Hierarchically Constrained Adaptive Ad Exposure in Feeds—0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization—0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
An unsupervised, open-source workflow for 2D and 3D building mapping from airborne LiDAR data—0
Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty—0
Feature subset selection for kernel SVM classification via mixed-integer optimization—0
Will Bilevel Optimizers Benefit from Loops—0
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping—0
Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics—0
Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability EstimationCode0
Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable—0
Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing—0
Approximate Message Passing with Parameter Estimation for Heavily Quantized MeasurementsCode0
Diverse super-resolution with pretrained deep hiererarchical VAEs—0
How Useful are Gradients for OOD Detection Really?—0
Two-Step Question Retrieval for Open-Domain QACode0
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
Perfect Spectral Clustering with Discrete CovariatesCode0
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
Scalable Vehicle Re-Identification via Self-Supervision—0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling—0
Contingency-constrained economic dispatch with safe reinforcement learning—0
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking—0
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation—0
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review—0
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network—0
Scalable computation of prediction intervals for neural networks via matrix sketching—0
PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis—0
ImPosing: Implicit Pose Encoding for Efficient Visual Localization—0
DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation—0
Scalable Regularised Joint Mixture ModelsCode0
Optimal Thermal Management, Charging, and Eco-driving of Battery Electric Vehicles—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Novel optimized crow search algorithm for feature selectionCode0
Ultra Fast Speech Separation Model with Teacher Student Learning—0
Adversarial Contrastive Learning by Permuting Cluster Assignments—0
Working memory inspired hierarchical video decomposition with transformative representationsCode0
Label Efficient Regularization and Propagation for Graph Node Classification—0
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs—0
RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology—0
Fast Multi-grid Methods for Minimizing Curvature EnergyCode0
FasterVideo: Efficient Online Joint Object Detection And TrackingCode0
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
Smart Interference Management xApp using Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified