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 4311–4320 of 4891 papers

TitleStatusHype
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media—0
Efficient Output Kernel Learning for Multiple Tasks—0
Efficient PAC Learning from the Crowd—0
Efficient Parallel Audio Generation using Group Masked Language Modeling—0
Efficient Polyp Segmentation Via Integrity Learning—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
Noise-Aware Ensemble Learning for Efficient Radar Modulation Recognition—0
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data—0
Efficient Relational Learning with Hidden Variable Detection—0
Show:102550
← PrevPage 432 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified