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Found 7 papers, 3 papers with code
Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction
3D car modeling is crucial for applications in autonomous driving systems, virtual and augmented reality, and gaming.
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Experimental results on Cifar100 and ImageNet datasets exhibit that \methodname~provides up to a \textbf{50. 00\%} reduction in training time and attains up to a \textbf{6. 94\%} enhancement in accuracy when contrasted with baseline methods across diverse models and tasks.
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design
Advancements in lithium battery technology heavily rely on the design and engineering of electrolytes.
Minimize Quantization Output Error with Bias Compensation
Quantization is a promising method that reduces memory usage and computational intensity of Deep Neural Networks (DNNs), but it often leads to significant output error that hinder model deployment.
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain
Internet-based services have seen remarkable success, generating vast amounts of monitored key performance indicators (KPIs) as univariate or multivariate time series.
LogKG: Log Failure Diagnosis Through Knowledge Graph
To fully use the information represented by KG, we propose a failure-oriented log representation (FOLR) method to extract the failure-related patterns.
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models
Materials 3, 023804] and is capable of generating uniformly accurate deep learning based PES models in a way that minimizes human intervention and the computational cost for data generation and model training.
Computational Physics
