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 3551–3600 of 4891 papers

TitleStatusHype
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks—0
A Screening Strategy for Structured Optimization Involving Nonconvex _q,p Regularization—0
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
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
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
AdamNODEs: When Neural ODE Meets Adaptive Moment EstimationCode0
Safe Drone Flight with Time-Varying Backup Controllers—0
DeepSNR: A deep learning foundation for offline gravitational wave detection—0
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time—0
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration—0
Style Interleaved Learning for Generalizable Person Re-identificationCode0
Online SuBmodular + SuPermodular (BP) Maximization with Bandit FeedbackCode0
Robust optimal well control using an adaptive multi-grid reinforcement learning frameworkCode0
Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization—0
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
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—0
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization—0
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)—0
On the Calculation of the Variance of Algebraic Variables in Power System Dynamic Models with Stochastic Processes—0
Two-Stage Neural Contextual Bandits for Personalised News RecommendationCode0
Combining Retrospective Approximation with Importance Sampling for Optimising Conditional Value at Risk—0
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning—0
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting—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
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning—0
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network—0
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin AttackCode0
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network—0
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions—0
SpecNet2: Orthogonalization-free spectral embedding by neural networksCode0
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback—0
Stochastic Gradient Descent without Full Data ShuffleCode0
Geometric Policy Iteration for Markov Decision Processes—0
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound—0
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd CountingCode0
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models—0
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training—0
8-bit Numerical Formats for Deep Neural Networks—0
Show:102550
← PrevPage 72 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified