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 1076–1100 of 4891 papers

TitleStatusHype
Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video—0
Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach—0
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers—0
Monocular Online Reconstruction with Enhanced Detail Preservation—0
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence—0
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems—0
OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regions—0
Video Dataset Condensation with Diffusion Models—0
Improving Generalization of Medical Image Registration Foundation ModelCode0
Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and EfficiencyCode0
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks—0
Integrating Building Thermal Flexibility Into Distribution System: A Privacy-Preserved Dispatch Approach—0
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising—0
A High-Dimensional Feature Selection Algorithm Based on Multiobjective Differential Evolution—0
Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities—0
Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal TubesCode0
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles—0
USPR: Learning a Unified Solver for Profiled RoutingCode0
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model—0
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes—0
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval—0
PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining—0
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning—0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization—0
Learning based convex approximation for constrained parametric optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified