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 1551–1560 of 4891 papers

TitleStatusHype
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional ElementsCode0
Learning-to-Defer for Extractive Question Answering—0
S-CFE: Simple Counterfactual ExplanationsCode0
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications—0
A Kernelization-Based Approach to Nonparametric Binary Choice Models—0
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering—0
LightFusionRec: Lightweight Transformers-Based Cross-Domain Recommendation Model—0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image RestorationCode2
Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified