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Found 6 papers, 3 papers with code
Fast Asymmetric Factorization for Large Scale Multiple Kernel Clustering
In response, Multiple Kernel Clustering (MKC) has emerged as a solution, allowing the fusion of information from multiple base kernels for clustering.
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
We also propose a new high-throughput framework to alleviate the computation and memory bottlenecks during the training and inference of MOE models.
Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation
We show that the proposed data augmentation strategy helps enhance the performance of the state-of-the-art convolutional neural network-random forest (CNN-RF) model by a reasonable amount, resulting in a noteworthy improvement in spatial correlation and a reduction in prediction error.
ASPEN: High-Throughput LoRA Fine-Tuning of Large Language Models with a Single GPU
Transformer-based large language models (LLMs) have demonstrated outstanding performance across diverse domains, particularly when fine-turned for specific domains.
Probing the superconducting gap structure in the noncentrosymmetric topological superconductor ZrRuAs
The superconducting gap structure of a topological crystalline insulator (TCI) candidate ZrRuAs ($T^{\rm on}_{\rm c}$ = 7. 9(1) K) with a noncentrosymmetric crystal structure has been investigated using muon spin rotation/relaxation ($\mu$SR) measurements in transverse-field (TF) and zero-field (ZF) geometries.
Superconductivity Strongly Correlated Electrons
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
In recent years, heatmap regression based models have shown their effectiveness in face alignment and pose estimation.
