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 601–610 of 4891 papers

TitleStatusHype
A Deep Learning Framework for Boundary-Aware Semantic Segmentation—0
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach—0
WeatherMesh-3: Fast and accurate operational global weather forecastingCode3
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID Personalization—0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
Audio-Plane: Audio Factorization Plane Gaussian Splatting for Real-Time Talking Head Synthesis—0
Next-Best-Trajectory Planning of Robot Manipulators for Effective Observation and Exploration—0
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified