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Modeling Discriminative Representations for Out-of-Domain Detection with
  Supervised Contrastive Learning

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning

29 May 2021
Zhiyuan Zeng
Keqing He
Yuanmeng Yan
Zijun Liu
Yanan Wu
Hong Xu
Huixing Jiang
Weiran Xu
ArXivPDFHTML

Papers citing "Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning"

19 / 19 papers shown
Title
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
D. Pitawela
Gustavo Carneiro
Hsiang-Ting Chen
53
0
0
22 Apr 2025
SCOREQ: Speech Quality Assessment with Contrastive Regression
SCOREQ: Speech Quality Assessment with Contrastive Regression
Alessandro Ragano
Jan Skoglund
Andrew Hines
40
6
0
09 Oct 2024
Universal Domain Adaptation for Robust Handling of Distributional Shifts
  in NLP
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Hyuhng Joon Kim
Hyunsoo Cho
Sang-Woo Lee
Junyeob Kim
Choonghyun Park
Sang-goo Lee
Kang Min Yoo
Taeuk Kim
VLM
OOD
48
1
0
23 Oct 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
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
21
3
0
20 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and
  Open-world Intent Recognition
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
Xiaoshuai Song
Yutao Mou
Keqing He
Yueyan Qiu
Pei Wang
Weiran Xu
25
2
0
16 Oct 2023
Open Set Relation Extraction via Unknown-Aware Training
Open Set Relation Extraction via Unknown-Aware Training
Jun Zhao
Xin Zhao
Wenyu Zhan
Qi Zhang
Tao Gui
Zhongyu Wei
Yunwen Chen
Xiang Gao
Xuanjing Huang
35
1
0
08 Jun 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
45
83
0
19 May 2023
Probing Out-of-Distribution Robustness of Language Models with
  Parameter-Efficient Transfer Learning
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
Hyunsoo Cho
Choonghyun Park
Junyeop Kim
Hyuhng Joon Kim
Kang Min Yoo
Sang-goo Lee
OODD
35
3
0
27 Jan 2023
Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual
  Assistants
Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants
Cheng Qian
Haode Qi
Gengyu Wang
L. Kunc
Saloni Potdar
33
4
0
16 Jan 2023
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in
  Text
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
Qianhui Wu
Huiqiang Jiang
Haonan Yin
Börje F. Karlsson
Chin-Yew Lin
35
10
0
21 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
40
15
0
10 Nov 2022
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
30
8
0
20 Oct 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD
  Detection via Unified Neighborhood Learning
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Yutao Mou
Pei Wang
Keqing He
Yanan Wu
Jingang Wang
Wei Wu
Weiran Xu
18
6
0
19 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
Yunhua Zhou
Pengyu Wang
Peiju Liu
Yuxin Wang
Xipeng Qiu
25
2
0
13 Oct 2022
Rank-N-Contrast: Learning Continuous Representations for Regression
Rank-N-Contrast: Learning Continuous Representations for Regression
Kaiwen Zha
Peng Cao
Jeany Son
Yuzhe Yang
Dina Katabi
CML
64
37
0
03 Oct 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian
  Approximation
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Yanan Wu
Zhiyuan Zeng
Keqing He
Yutao Mou
Pei Wang
Weiran Xu
42
8
0
14 Sep 2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Generalized Intent Discovery: Learning from Open World Dialogue System
Yutao Mou
Keqing He
Yanan Wu
Pei Wang
Jingang Wang
Wei Wu
Y. Huang
Junlan Feng
Weiran Xu
37
8
0
13 Sep 2022
POEM: Out-of-Distribution Detection with Posterior Sampling
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming
Ying Fan
Yixuan Li
OODD
29
114
0
28 Jun 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
1