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Uncertainty Calibration for Ensemble-Based Debiasing Methods

Uncertainty Calibration for Ensemble-Based Debiasing Methods

7 November 2021
Ruibin Xiong
Yimeng Chen
Liang Pang
Xueqi Chen
Yanyan Lan
ArXiv (abs)PDFHTML

Papers citing "Uncertainty Calibration for Ensemble-Based Debiasing Methods"

15 / 15 papers shown
Title
How to Improve the Robustness of Closed-Source Models on NLI
How to Improve the Robustness of Closed-Source Models on NLI
Joe Stacey
Lisa Alazraki
Aran Ubhi
Beyza Ermis
Aaron Mueller
Marek Rei
30
0
0
26 May 2025
Towards Better Graph-based Cross-document Relation Extraction via
  Non-bridge Entity Enhancement and Prediction Debiasing
Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing
Hao Yue
Shaopeng Lai
Chengyi Yang
Liang Zhang
Junfeng Yao
Jinsong Su
68
3
0
24 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
85
1
0
17 Jun 2024
Mitigating Shortcuts in Language Models with Soft Label Encoding
Mitigating Shortcuts in Language Models with Soft Label Encoding
Zirui He
Huiqi Deng
Haiyan Zhao
Ninghao Liu
Jundong Li
64
2
0
17 Sep 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain
  Generalization
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
Yimeng Chen
Tianyang Hu
Fengwei Zhou
Zhenguo Li
Zhiming Ma
77
12
0
05 Jun 2023
Calibrating Multimodal Learning
Calibrating Multimodal Learning
Huanrong Zhang
Changqing Zhang
Bing Wu
Huazhu Fu
Qiufeng Wang
Q. Hu
100
21
0
02 Jun 2023
Robust Natural Language Understanding with Residual Attention Debiasing
Robust Natural Language Understanding with Residual Attention Debiasing
Fei Wang
James Y. Huang
Tianyi Yan
Wenxuan Zhou
Muhao Chen
67
11
0
28 May 2023
Think Twice: Measuring the Efficiency of Eliminating Prediction
  Shortcuts of Question Answering Models
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models
Lukávs Mikula
Michal vStefánik
Marek Petrovivc
Petr Sojka
68
4
0
11 May 2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Songyang Gao
Shihan Dou
Junjie Shan
Qi Zhang
Xuanjing Huang
CML
55
0
0
04 May 2023
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence
  Embedding
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
Songyang Gao
Shihan Dou
Qi Zhang
Xuanjing Huang
43
8
0
14 Oct 2022
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU
  Models
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
Ting Wu
Tao Gui
64
5
0
16 Sep 2022
When Does Group Invariant Learning Survive Spurious Correlations?
When Does Group Invariant Learning Survive Spurious Correlations?
Yimeng Chen
Ruibin Xiong
Zhiming Ma
Yanyan Lan
OODCML
90
22
0
29 Jun 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious
  Correlations from a Feature Perspective
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
Shihan Dou
Rui Zheng
Ting Wu
Songyang Gao
Junjie Shan
Qi Zhang
Yueming Wu
Xuanjing Huang
111
8
0
16 Feb 2022
General Greedy De-bias Learning
General Greedy De-bias Learning
Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Qi Tian
107
9
0
20 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
295
139
0
15 Dec 2021
1