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 1826–1850 of 4891 papers

TitleStatusHype
Fast and Flexible Image Blind Denoising via Competition of Experts—0
Fast and Blind Speech Copy-Move Detection and Localization in Noise—0
Fast and Extensible Online Multivariate Kernel Density Estimation—0
Fast and efficient speech enhancement with variational autoencoders—0
Fast clustering for scalable statistical analysis on structured images—0
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
Fast and Accurate Surface Normal Integration on Non-Rectangular Domains—0
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers—0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation—0
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
Faster Machine Unlearning via Natural Gradient Descent—0
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion—0
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence—0
Fast and Accurate Image Upscaling With Super-Resolution Forests—0
Collaborative Learning with Different Labeling Functions—0
A Novel and Optimal Spectral Method for Permutation Synchronization—0
Advances and Open Challenges in Federated Foundation Models—0
Fast Gaussian Processes under Monotonicity Constraints—0
Fast global convergence rates of gradient methods for high-dimensional statistical recovery—0
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming—0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified