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VI-OOD: A Unified Representation Learning Framework for Textual
  Out-of-distribution Detection

VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection

9 April 2024
Li-Ming Zhan
Bo Liu
Xiao-Ming Wu
ArXivPDFHTML

Papers citing "VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection"

2 / 2 papers shown
Title
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for
  Out-of-Domain Detection
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
Rheeya Uppaal
Junjie Hu
Yixuan Li
OODD
119
33
0
22 May 2023
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain
  Detection
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
Alexander Podolskiy
Dmitry Lipin
A. Bout
Ekaterina Artemova
Irina Piontkovskaya
OODD
95
82
0
11 Jan 2021
1