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 1421–1430 of 4891 papers

TitleStatusHype
Reliable Solution to Dynamic Optimization Problems using Integrated Residual Regularized Direct Collocation—0
Federated Smoothing ADMM for Localization—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
TPDiff: Temporal Pyramid Video Diffusion Model—0
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
Revisiting Frank-Wolfe for Structured Nonconvex Optimization—0
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals—0
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Show:102550
← PrevPage 143 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified