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 3911–3920 of 4891 papers

TitleStatusHype
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
Machine learning-assisted surrogate construction for full-core fuel performance analysis—0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Uncertainty Surrogates for Deep Learning—0
The Butterfly Effect in Primary Visual Cortex—0
Towards Efficient Graph Convolutional Networks for Point Cloud HandlingCode0
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators—0
Deformable Capsules for Object Detection—0
A New Parallel Adaptive Clustering and its Application to Streaming Data—0
Generalized Nesterov's Acceleration-incorporated Non-negative and Adaptive Latent Factor Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified