Distribution Calibration for Out-of-Domain Detection with Bayesian
Approximation

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation

14 September 2022

Weiran Xu

Papers citing "Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation"

6 / 6 papers shown

Title
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection Pei Wang Keqing He Yejie Wang Xiaoshuai Song Yutao Mou Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 27 6 0 27 Feb 2024
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection Pei Wang Keqing He Yutao Mou Xiaoshuai Song Yanan Wu Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 13 3 0 20 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition Xiaoshuai Song Yutao Mou Keqing He Yueyan Qiu Pei Wang Weiran Xu 19 2 0 16 Oct 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank Dheeraj Mekala Adithya Samavedhi Chengyu Dong Jingbo Shang OODD 11 2 0 24 May 2023
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Yuanmeng Yan Weiran Xu OODD 6 3 0 17 Oct 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015