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 1801–1850 of 4891 papers

TitleStatusHype
A novel shape matching descriptor for real-time hand gesture recognition—0
Combining the band-limited parameterization and Semi-Lagrangian Runge--Kutta integration for efficient PDE-constrained LDDMM—0
Combining Retrospective Approximation with Importance Sampling for Optimising Conditional Value at Risk—0
A Novel Noise Injection-based Training Scheme for Better Model Robustness—0
Advances in the Simulation and Modeling of Complex Systems using Dynamical Graph Grammars—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
The Butterfly Effect in Primary Visual Cortex—0
Combining GCN Structural Learning with LLM Chemical Knowledge for or Enhanced Virtual Screening—0
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML—0
Combining Entropy and Matrix Nuclear Norm for Enhanced Evaluation of Language Models—0
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution—0
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics—0
A comparative study of human inverse kinematics techniques for lower limbs—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
Combinatorial Attacks on Binarized Neural Networks—0
Fast and Interpretable Consensus Clustering via Minipatch Learning—0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching—0
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis—0
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models—0
Fast Barrier Option Pricing by the COS BEM Method in Heston Model—0
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