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Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

9 September 2019
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
    OOD
ArXivPDFHTML

Papers citing "Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases"

50 / 124 papers shown
Title
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
Ming-Hui Liu
Xiao-Qian Liu
Xin Luo
Xin-Shun Xu
59
0
0
07 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
70
1
0
24 Apr 2025
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation
Daowan Peng
Wei Wei
190
0
0
10 Jan 2025
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Hao-ming Lin
Wenhao Ding
Jian Chen
Laixi Shi
Jiacheng Zhu
Bo-wen Li
Ding Zhao
OffRL
CML
54
0
0
15 Jul 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
54
0
0
15 Jun 2024
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based
  Inferencing
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
Siddhant Agarwal
Shivam Sharma
Preslav Nakov
Tanmoy Chakraborty
24
4
0
18 May 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against
  Multi-Backdoors
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors
Victoria Graf
Qin Liu
Muhao Chen
AAML
40
8
0
02 Apr 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
William Bankes
George Hughes
Ilija Bogunovic
Zi Wang
34
3
0
01 Dec 2023
Multi-label and Multi-target Sampling of Machine Annotation for
  Computational Stance Detection
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection
Zhengyuan Liu
Hai Leong Chieu
Nancy F. Chen
29
1
0
08 Nov 2023
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Tai-Yu Pan
Chenyang Ma
Tianle Chen
Cheng Perng Phoo
Katie Z Luo
Yurong You
Mark E. Campbell
Kilian Q. Weinberger
B. Hariharan
Wei-Lun Chao
3DPC
25
4
0
23 Oct 2023
Multiscale Superpixel Structured Difference Graph Convolutional Network
  for VL Representation
Multiscale Superpixel Structured Difference Graph Convolutional Network for VL Representation
Siyu Zhang
Ye-Ting Chen
Fang Wang
Yaoru Sun
Jun Yang
Lizhi Bai
SSL
32
0
0
20 Oct 2023
Bias Amplification Enhances Minority Group Performance
Bias Amplification Enhances Minority Group Performance
Gaotang Li
Jiarui Liu
Wei Hu
28
5
0
13 Sep 2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models'
  Over-Reliance on Superficial Clue
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue
Yanrui Du
Sendong Zhao
Yuhan Chen
Rai Bai
Jing Liu
Huaqin Wu
Haifeng Wang
Bing Qin
48
2
0
08 Sep 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
32
18
0
15 Jul 2023
Dissecting Multimodality in VideoQA Transformer Models by Impairing
  Modality Fusion
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
Isha Rawal
Alexander Matyasko
Shantanu Jaiswal
Basura Fernando
Cheston Tan
23
2
0
15 Jun 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
41
73
0
07 Jun 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a
  Unified Automatic Robustness Evaluation Framework
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Lifan Yuan
Dehan Kong
...
Longtao Huang
H. Xue
Zhiyuan Liu
Maosong Sun
Heng Ji
AAML
ELM
33
6
0
29 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
Qin Liu
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
37
22
0
24 May 2023
Understanding and Mitigating Spurious Correlations in Text
  Classification with Neighborhood Analysis
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
Oscar Chew
Hsuan-Tien Lin
Kai-Wei Chang
Kuan-Hao Huang
38
5
0
23 May 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious
  Correlation
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
Xuanli He
Qiongkai Xu
Jun Wang
Benjamin I. P. Rubinstein
Trevor Cohn
AAML
37
18
0
19 May 2023
Visual Question Answering: A Survey on Techniques and Common Trends in
  Recent Literature
Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
Ana Claudia Akemi Matsuki de Faria
Felype de Castro Bastos
Jose Victor Nogueira Alves da Silva
Vitor Lopes Fabris
Valeska Uchôa
Décio Gonccalves de Aguiar Neto
C. F. G. Santos
30
23
0
18 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
Out-of-distribution Evidence-aware Fake News Detection via Dual
  Adversarial Debiasing
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
Qiang Liu
Jun Wu
Shu Wu
Liang Wang
OODD
CML
25
11
0
25 Apr 2023
Can We Identify Stance Without Target Arguments? A Study for Rumour
  Stance Classification
Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification
Yue Li
Carolina Scarton
36
0
0
22 Mar 2023
Divide and Conquer: Answering Questions with Object Factorization and
  Compositional Reasoning
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning
Shi Chen
Qi Zhao
47
5
0
18 Mar 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
47
2
0
28 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
42
1
0
22 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
43
8
0
18 Feb 2023
Guide the Learner: Controlling Product of Experts Debiasing Method Based
  on Token Attribution Similarities
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities
Ali Modarressi
Hossein Amirkhani
Mohammad Taher Pilehvar
29
2
0
06 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
37
25
0
20 Dec 2022
Debiasing Stance Detection Models with Counterfactual Reasoning and
  Adversarial Bias Learning
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
Jianhua Yuan
Yanyan Zhao
Bing Qin
47
4
0
20 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
Dawei Yin
Z. Ren
32
10
0
11 Dec 2022
What do you MEME? Generating Explanations for Visual Semantic Role
  Labelling in Memes
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
Shivam Sharma
Siddhant Agarwal
Tharun Suresh
Preslav Nakov
Md. Shad Akhtar
Tanmoy Charkraborty
VLM
33
18
0
01 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating
  Shortcut Learning
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning
Jiaxin Wen
Yeshuang Zhu
Jinchao Zhang
Jie Zhou
Minlie Huang
CML
AAML
22
8
0
29 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
40
9
0
30 Oct 2022
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual
  Question Answering
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
Q. Si
Yuanxin Liu
Zheng Lin
Peng Fu
Weiping Wang
VLM
42
1
0
26 Oct 2022
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Haw-Shiuan Chang
Ruei-Yao Sun
Kathryn Ricci
Andrew McCallum
43
14
0
10 Oct 2022
Towards Robust Visual Question Answering: Making the Most of Biased
  Samples via Contrastive Learning
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Q. Si
Yuanxin Liu
Fandong Meng
Zheng Lin
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
37
23
0
10 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yi Zhou
Renyu Li
Hayden Housen
Ser-Nam Lim
BDL
42
0
0
05 Oct 2022
Information Removal at the bottleneck in Deep Neural Networks
Information Removal at the bottleneck in Deep Neural Networks
Enzo Tartaglione
51
2
0
30 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine
  Reading Comprehension
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
35
4
0
05 Sep 2022
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Xia Hu
KELM
OffRL
40
84
0
25 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OOD
OODD
BDL
42
25
0
22 Aug 2022
Visual Perturbation-aware Collaborative Learning for Overcoming the
  Language Prior Problem
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem
Yudong Han
Liqiang Nie
Jianhua Yin
Jianlong Wu
Yan Yan
26
13
0
24 Jul 2022
Enhancing Security Patch Identification by Capturing Structures in
  Commits
Enhancing Security Patch Identification by Capturing Structures in Commits
Bozhi Wu
Shangqing Liu
Ruitao Feng
Xiaofei Xie
J. Siow
Shang-Wei Lin
30
30
0
19 Jul 2022
Distilling Model Failures as Directions in Latent Space
Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
Ankur Moitra
A. Madry
23
90
0
29 Jun 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
36
20
0
29 Jun 2022
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and
  Textual Data
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data
Yilun Zhao
Yunxiang Li
Chenying Li
Rui Zhang
AIMat
39
97
0
03 Jun 2022
Revisiting the Importance of Amplifying Bias for Debiasing
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee
Jeonghoon Park
Daeyoung Kim
Juyoung Lee
Edward Choi
Jaegul Choo
47
21
0
29 May 2022
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