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 2101–2150 of 4891 papers

TitleStatusHype
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems—0
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics—0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection—0
How important are faces for person re-identification?—0
Design Amortization for Bayesian Optimal Experimental Design—0
DER Hosting capacity for distribution networks: definitions, attributes, use-cases and challenges—0
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts—0
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement—0
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
Dependent Matérn Processes for Multivariate Time Series—0
A Two-Stage Rotation-Based Super-Resolution Signature Estimation for Spatial Wideband Systems—0
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models—0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
High Performance Computing of Gene Regulatory Networks using a Message-Passing Model—0
Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching—0
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition—0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation—0
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers—0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI—0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
High Fidelity Text-to-Speech Via Discrete Tokens Using Token Transducer and Group Masked Language Model—0
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface—0
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors—0
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation—0
Attentive cross-modal paratope prediction—0
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee—0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models—0
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting—0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles—0
Diffusion Models, Image Super-Resolution And Everything: A Survey—0
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation—0
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion—0
Deformable Capsules for Object Detection—0
DefMamba: Deformable Visual State Space Model—0
Attention is Naturally Sparse with Gaussian Distributed Input—0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection—0
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing—0
Defect detection for patterned fabric images based on GHOG and low-rank decomposition—0
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization—0
High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators—0
Deep vs. Diverse Architectures for Classification Problems—0
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions—0
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields—0
Deep Video Demoireing via Compact Invertible Dyadic Decomposition—0
Deep Unsupervised Hashing by Distilled Smooth Guidance—0
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified