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 3411–3420 of 4891 papers

TitleStatusHype
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications—0
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates—0
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds—0
A few-shot Label Unlearning in Vertical Federated Learning—0
A Filtering-based General Approach to Learning Rational Constraints of Epistemic Graphs—0
A Framework for Combustion Chemistry Acceleration with DeepONets—0
A Framework for Wasserstein-1-Type Metrics—0
A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling—0
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms—0
Show:102550
← PrevPage 342 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified