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 1461–1470 of 4891 papers

TitleStatusHype
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction—0
Enabling Fast, Accurate, and Efficient Real-Time Genome Analysis via New Algorithms and Techniques—0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy—0
Seeded Poisson Factorization: Leveraging domain knowledge to fit topic modelsCode0
Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame—0
Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed TransformerCode0
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control—0
Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling—0
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
Show:102550
← PrevPage 147 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified