2 papers
stat.ML2025
Latent space analysis and generalization to out-of-distribution data
Katie Rainey, Erin Hausmann, Donald Waagen +2
Understanding the relationships between data points in the latent decision space derived by the deep learning system is critical to evaluating and interpreting the performance of t…
cs.LG2024
Out-of-Distribution Learning with Human Feedback
Haoyue Bai, Xuefeng Du, Katie Rainey +2
Out-of-distribution (OOD) learning often relies heavily on statistical approaches or predefined assumptions about OOD data distributions, hindering their efficacy in addressing mul…