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 2581–2590 of 4891 papers

TitleStatusHype
Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models—0
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits—0
RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity—0
RFI Mitigation for One-bit UWB Radar Systems—0
Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics—0
RILe: Reinforced Imitation Learning—0
RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation—0
RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM—0
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation—0
Risk-Sensitive Security-Constrained Economic Dispatch: Pricing and Algorithm Design—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified