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 2851–2900 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
US \& MRI Image Fusion Based on Markerless Skin Registration—0
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization—0
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues—0
Variational Autoencoding of Dental Point CloudsCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats—0
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis—0
Saliency strikes back: How filtering out high frequencies improves white-box explanations—0
Flow Matching in Latent SpaceCode2
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
On the Effective Horizon of Inverse Reinforcement Learning—0
YOLIC: An Efficient Method for Object Localization and Classification on Edge DevicesCode0
TinyMetaFed: Efficient Federated Meta-Learning for TinyML—0
FDAPT: Federated Domain-adaptive Pre-training for Language ModelsCode0
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression—0
Operational Support Estimator NetworksCode0
Predicting small molecules solubilities on endpoint devices using deep ensemble neural networksCode1
Metropolis Sampling for Constrained Diffusion Models—0
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications—0
Differentiable Turbulence: Closure as a partial differential equation constrained optimization—0
Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear Medicine—0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
Remote Sensing Image Change Detection with Graph InteractionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified