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 2351–2400 of 4891 papers

TitleStatusHype
High-dimensional Mixed Graphical Models—0
IHashNet: Iris Hashing Network based on efficient multi-index hashing—0
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement—0
IKDiffuser: A Generative Inverse Kinematics Solver for Multi-arm Robots via Diffusion Model—0
Ilargi: a GPU Compatible Factorized ML Model Training Framework—0
Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization—0
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors—0
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
Image edge enhancement for effective image classification—0
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment—0
AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks—0
Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN—0
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach—0
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
A high-reproducibility and high-accuracy method for automated topic classification—0
DCE: Offline Reinforcement Learning With Double Conservative Estimates—0
Is the space complexity of planted clique recovery the same as that of detection?—0
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties—0
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions—0
Importance Filtering with Risk Models for Complex Driving Situations—0
ImPosing: Implicit Pose Encoding for Efficient Visual Localization—0
Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach—0
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning—0
Improved Distributed Principal Component Analysis—0
Improved model-free bounds for multi-asset options using option-implied information and deep learning—0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer—0
Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography—0
A study on the efficacy of model pre-training in developing neural text-to-speech system—0
Iterative Subsampling in Solution Path Clustering of Noisy Big Data—0
Hierarchical structure-and-motion recovery from uncalibrated images—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering—0
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations—0
DB-LLM: Accurate Dual-Binarization for Efficient LLMs—0
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment—0
Hierarchical recurrent neural network for skeleton based action recognition—0
A Time Splitting Based Optimization Method for Nonlinear MHE—0
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect—0
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows—0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics—0
Abstract Rendering: Computing All Seen in Gaussian Splat Scenes—0
Hierarchical Object-Centric Learning with Capsule Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified