Statistical Learning
Distributed Lion for Communication Efficient Distributed Training
In this paper, we introduce Distributed Lion, an innovative adaptation of Lion for distributed training environments.
Interpret Y our Decision: Logical Reasoning Regularization for Generalization in Visual Classification Zhaorui Tan 1,2, Xi Y ang
Vision models excel in image classification but struggle to generalize to unseen data, such as classifying images from unseen domains or discovering novel categories.
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models
Despite their different natures, these strategies often lead to comparable performance gains.
Beyond Effi ciency: Molecular Data Pruning for Enhanced Generalization
With the emergence of various molecular tasks and massive datasets, how to perform e ffi cient training has become an urgent yet under-explored issue in the area. Data pruning (DP), as an oft-stated approach to saving training burdens, filters out less influential samples to form a coreset for training.
