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 2021–2030 of 4891 papers

TitleStatusHype
Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipeCode0
Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance—0
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty—0
Consistency Models Made EasyCode3
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases DetectionCode1
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level OptimizationCode0
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging—0
Tree-Sliced Wasserstein Distance: A Geometric Perspective—0
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction—0
Show:102550
← PrevPage 203 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified