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 1841–1850 of 4891 papers

TitleStatusHype
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence—0
Fast and Accurate Image Upscaling With Super-Resolution Forests—0
Collaborative Learning with Different Labeling Functions—0
A Novel and Optimal Spectral Method for Permutation Synchronization—0
Advances and Open Challenges in Federated Foundation Models—0
Fast Gaussian Processes under Monotonicity Constraints—0
Fast global convergence rates of gradient methods for high-dimensional statistical recovery—0
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming—0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified