APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection

20 October 2023

Weiran Xu

Papers citing "APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection"

5 / 5 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
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Weiran Xu 32 8 0 14 Sep 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 203 501 0 15 Jan 2021
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 167 444 0 10 Mar 2020
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 175 123 0 29 Nov 2018