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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
ArXivPDFHTML

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

17 / 17 papers shown
Title
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
47
1
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
55
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
Mengnan Du
28
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
33
12
0
05 Jun 2023
Calibrating Multimodal Learning
Calibrating Multimodal Learning
Huanrong Zhang
Changqing Zhang
Bing Wu
Huazhu Fu
Qiufeng Wang
Q. Hu
62
17
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
37
10
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
41
3
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
32
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
30
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
45
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
OOD
CML
40
21
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
32
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
11
7
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
139
131
0
15 Dec 2021
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
53
23
0
05 Mar 2020
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
192
576
0
02 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,695
0
05 Dec 2016
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