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1906.08430
Cited By
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects
20 June 2019
Gabriel Grand
Yonatan Belinkov
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Papers citing
"Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects"
41 / 41 papers shown
Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention
IEEE International Conference on Multimedia and Expo (ICME), 2024
Ying Liu
Ge Bai
Chenji Lu
Shilong Li
Zhang Zhang
Ruifang Liu
Wenbin Guo
257
6
0
14 Oct 2024
Strong denoising of financial time-series
Matthias J. Feiler
154
2
0
11 Aug 2024
From Text to Multimodal: A Comprehensive Survey of Adversarial Example Generation in Question Answering Systems
Gulsum Yigit
M. Amasyalı
AAML
203
0
0
26 Dec 2023
An Empirical Study on the Language Modal in Visual Question Answering
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Daowan Peng
Wei Wei
Xian-Ling Mao
Yuanyuan Fu
Dangyang Chen
281
5
0
17 May 2023
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
Frano Rajic
Ivan Stresec
Axel Marmet
Tim Postuvan
185
4
0
23 Nov 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jieyu Zhao
Xuezhi Wang
Yao Qin
Jilin Chen
Kai-Wei Chang
UQCV
198
2
0
28 Oct 2022
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Q. Si
Yuanxin Liu
Zheng Lin
Peng Fu
Weiping Wang
VLM
316
3
0
26 Oct 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Q. Si
Fandong Meng
Mingyu Zheng
Zheng Lin
Yuanxin Liu
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
202
33
0
10 Oct 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Q. Si
Yuanxin Liu
Fandong Meng
Zheng Lin
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
302
29
0
10 Oct 2022
Rethinking Data Augmentation for Robust Visual Question Answering
European Conference on Computer Vision (ECCV), 2022
Long Chen
Yuhang Zheng
Jun Xiao
OOD
284
54
0
18 Jul 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
European Conference on Computer Vision (ECCV), 2022
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
433
17
0
05 Apr 2022
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach
Xiaohan Lan
Yitian Yuan
Xin Eric Wang
Long Chen
Zhi Wang
Lin Ma
Wenwu Zhu
CML
205
20
0
10 Mar 2022
Language bias in Visual Question Answering: A Survey and Taxonomy
Desen Yuan
259
17
0
16 Nov 2021
Towards Debiasing Temporal Sentence Grounding in Video
Hao Zhang
Aixin Sun
Wei Jing
Qiufeng Wang
266
21
0
08 Nov 2021
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Long Chen
Yuhang Zheng
Yulei Niu
Hanwang Zhang
Jun Xiao
AAML
OOD
320
48
0
03 Oct 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
Jihyung Kil
Cheng Zhang
D. Xuan
Wei-Lun Chao
307
23
0
13 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
182
41
0
05 Sep 2021
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
ACM Multimedia (ACM MM), 2021
Jingjing Jiang
Zi-yi Liu
Yifan Liu
Jingjing Jiang
N. Zheng
OOD
281
20
0
24 Jul 2021
Robustifying Multi-hop QA through Pseudo-Evidentiality Training
Kyungjae Lee
Seung-won Hwang
Sanghyun Han
Dohyeon Lee
OffRL
200
14
0
07 Jul 2021
Check It Again: Progressive Visual Question Answering via Visual Entailment
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Q. Si
Zheng Lin
Mingyu Zheng
Peng Fu
Weiping Wang
163
55
0
08 Jun 2021
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Zujie Liang
Haifeng Hu
Jiaying Zhu
227
45
0
29 May 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
International Conference on Autonomic and Autonomous Systems (ICAAS), 2021
Robik Shrestha
Jinkyu Lee
Kushal Kafle
S. Hwang
Il Yong Chun
204
13
0
01 Apr 2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
European Conference on Information Retrieval (ECIR), 2021
Sebastian Hofstatter
Aldo Lipani
Sophia Althammer
Markus Zlabinger
Allan Hanbury
386
23
0
18 Jan 2021
Learning content and context with language bias for Visual Question Answering
IEEE International Conference on Multimedia and Expo (ICME), 2020
Chao Yang
Su Feng
Dongsheng Li
Huawei Shen
Guoqing Wang
Bin Jiang
213
24
0
21 Dec 2020
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models
Linjie Li
Zhe Gan
Jingjing Liu
VLM
333
50
0
15 Dec 2020
WeaQA: Weak Supervision via Captions for Visual Question Answering
Findings (Findings), 2020
Pratyay Banerjee
Tejas Gokhale
Yezhou Yang
Chitta Baral
418
39
0
04 Dec 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
241
63
0
07 Nov 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Neural Information Processing Systems (NeurIPS), 2020
Itai Gat
Idan Schwartz
Alex Schwing
Tamir Hazan
336
104
0
21 Oct 2020
Multimodal Speech Recognition with Unstructured Audio Masking
Tejas Srinivasan
Ramon Sanabria
Florian Metze
Desmond Elliott
CVBM
153
10
0
16 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question Answering
S. Yu
Yulei Niu
Shuohang Wang
Jing Jiang
Qianru Sun
AAML
OOD
312
9
0
12 Oct 2020
Fine-Grained Grounding for Multimodal Speech Recognition
Findings (Findings), 2020
Tejas Srinivasan
Ramon Sanabria
Florian Metze
Desmond Elliott
191
11
0
05 Oct 2020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney
Kushal Kafle
Robik Shrestha
Ehsan Abbasnejad
Christopher Kanan
Anton Van Den Hengel
OODD
OOD
263
156
0
19 May 2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
European Conference on Computer Vision (ECCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
SSL
CML
251
125
0
20 Apr 2020
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
365
33
0
12 Apr 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Computer Vision and Pattern Recognition (CVPR), 2020
Long Chen
Xin Yan
Jun Xiao
Hanwang Zhang
Shiliang Pu
Yueting Zhuang
OOD
AAML
415
324
0
14 Mar 2020
Unshuffling Data for Improved Generalization
IEEE International Conference on Computer Vision (ICCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
290
83
0
27 Feb 2020
End-to-End Bias Mitigation by Modelling Biases in Corpora
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
440
196
0
13 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
362
510
0
09 Sep 2019
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
International Workshop on Semantic Evaluation (SemEval), 2019
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
AAML
245
73
0
09 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
274
98
0
09 Jul 2019
VQA with no questions-answers training
Computer Vision and Pattern Recognition (CVPR), 2018
B. Vatashsky
S. Ullman
264
13
0
20 Nov 2018
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