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

Showing 531540 of 4891 papers

TitleStatusHype
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Accelerated and interpretable oblique random survival forestsCode1
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEsCode1
FViT: A Focal Vision Transformer with Gabor FilterCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
AI Accelerator Survey and TrendsCode1
Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
FocusTrack: A Self-Adaptive Local Sampling Algorithm for Efficient Anti-UAV TrackingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified