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 341–350 of 4891 papers

TitleStatusHype
Continuous Thought MachinesCode5
PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining—0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization—0
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning—0
Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks—0
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems—0
Learning based convex approximation for constrained parametric optimization—0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data RestorationCode2
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified