Performance Analysis
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
Neural Information Processing Systems http://nips.cc/
Window-Based Distribution Shift Detection for Deep Neural Networks
Based on this bound, our detector continuously monitors the operation of the network over a test window and fires off an alarm whenever a deviation is detected.
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Extensive experiments and analyses have been conducted to characterize and demonstrate the effectiveness of the proposed DivOE.
Can we globally optimize cross validation loss in ridge regression
Models like LASSO and ridge regression are extensively used in practice due to their interpretability, ease of use, and strong theoretical guarantees.
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker University of California, Berkeley Lu Mi
The traditional approach to data-driven modeling of a neural population typically involves two separate stages. First, neural population activity is recorded while an animal performs a task of interest.
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
Our source code for our work is available here.
