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 2851–2875 of 4891 papers

TitleStatusHype
Optimal Clustering with Dependent Costs in Bayesian Networks—0
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image ReconstructionCode0
CIRO: COVID-19 infection risk ontologyCode0
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface—0
RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads—0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
Learning Fine-Grained Features for Pixel-wise Video CorrespondencesCode1
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method—0
Designing a Deep Learning-Driven Resource-Efficient Diagnostic System for Metastatic Breast Cancer: Reducing Long Delays of Clinical Diagnosis and Improving Patient Survival in Developing Countries—0
A State-Space Perspective on Modelling and Inference for Online Skill RatingCode1
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks—0
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training—0
A Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles—0
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations—0
WCCNet: Wavelet-integrated CNN with Crossmodal Rearranging Fusion for Fast Multispectral Pedestrian Detection—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture DesignCode2
An Unforgeable Publicly Verifiable Watermark for Large Language ModelsCode2
Fully 11 Convolutional Network for Lightweight Image Super-ResolutionCode1
Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials—0
Monaural Multi-Speaker Speech Separation Using Efficient Transformer Model—0
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones—0
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEsCode1
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified