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 3351–3400 of 4891 papers

TitleStatusHype
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks—0
Robust Graph Neural Networks using Weighted Graph LaplacianCode0
A Screening Strategy for Structured Optimization Involving Nonconvex _q,p Regularization—0
Accelerated and interpretable oblique random survival forestsCode1
A Real-time Edge-AI System for Reef Surveys—0
Neural Architecture Search on Efficient Transformers and Beyond—0
Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control—0
Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations—0
TransCL: Transformer Makes Strong and Flexible Compressive LearningCode1
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers—0
Generalized Analysis and Unified Design of EM Skins—0
SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image EnhancementCode1
BIP: Boost Invariant Polynomials for Efficient Jet TaggingCode0
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection—0
Multiscale Causal Structure Learning—0
Action Recognition With Motion Diversification and Dynamic Selection—0
STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observabilityCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
AdamNODEs: When Neural ODE Meets Adaptive Moment EstimationCode0
PointNorm: Dual Normalization is All You Need for Point Cloud AnalysisCode1
Safe Drone Flight with Time-Varying Backup Controllers—0
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time—0
DeepSNR: A deep learning foundation for offline gravitational wave detection—0
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration—0
Online SuBmodular + SuPermodular (BP) Maximization with Bandit FeedbackCode0
Style Interleaved Learning for Generalizable Person Re-identificationCode0
Robust optimal well control using an adaptive multi-grid reinforcement learning frameworkCode0
Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization—0
Softmax-free Linear TransformersCode2
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissueCode0
Location reference recognition from texts: A survey and comparison—0
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning—0
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization—0
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—0
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
On the Calculation of the Variance of Algebraic Variables in Power System Dynamic Models with Stochastic Processes—0
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)—0
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Two-Stage Neural Contextual Bandits for Personalised News RecommendationCode0
Combining Retrospective Approximation with Importance Sampling for Optimising Conditional Value at Risk—0
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting—0
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning—0
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape ModelsCode0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—0
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold—0
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified