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 3151–3200 of 4891 papers

TitleStatusHype
SCQPTH: an efficient differentiable splitting method for convex quadratic programmingCode0
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance—0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing—0
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction—0
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays ClassificationCode0
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions—0
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting—0
Localization of DOA trajectories -- Beyond the grid—0
SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection—0
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere—0
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem—0
Optimal Clustering with Dependent Costs in Bayesian Networks—0
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image ReconstructionCode0
RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads—0
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface—0
CIRO: COVID-19 infection risk ontologyCode0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
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
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks—0
A Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles—0
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training—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
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
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
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
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis—0
ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats—0
Saliency strikes back: How filtering out high frequencies improves white-box explanations—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
TinyMetaFed: Efficient Federated Meta-Learning for TinyML—0
On the Effective Horizon of Inverse Reinforcement Learning—0
YOLIC: An Efficient Method for Object Localization and Classification on Edge DevicesCode0
FDAPT: Federated Domain-adaptive Pre-training for Language ModelsCode0
Operational Support Estimator NetworksCode0
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified