Performance Analysis
Explaining Datasets in Words: Statistical Models with Natural Language Parameters Ruiqi Zhong Heng Wang Dan Klein Jacob Steinhardt
However, these parameters are often high-dimensional and hard to interpret.
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
To facilitate the algorithm's widespread adoption among
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
Concept Bottleneck Models (CBMs) provide interpretable prediction by introducing an intermediate Concept Bottleneck Layer (CBL), which encodes human-understandable concepts to explain models' decision.
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems
Sparse ridge regression problems play a significant role across various domains.