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 1451–1460 of 4891 papers

TitleStatusHype
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data—0
LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance RepresentationCode1
Effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storageCode3
Variance-Aware Linear UCB with Deep Representation for Neural Contextual BanditsCode0
Physics-constrained coupled neural differential equations for one dimensional blood flow modelingCode0
Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine—0
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning—0
Mitigating Stop-and-Go Traffic Congestion with Operator Learning—0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
Benchmarking Large Language Models with Integer Sequence Generation Tasks—0
Show:102550
← PrevPage 146 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified