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1906.08430
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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"
13 / 13 papers shown
Title
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
32
23
0
10 Oct 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
21
13
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
13
15
0
10 Mar 2022
Language bias in Visual Question Answering: A Survey and Taxonomy
Desen Yuan
16
12
0
16 Nov 2021
Towards Debiasing Temporal Sentence Grounding in Video
Hao Zhang
Aixin Sun
Wei Jing
Joey Tianyi Zhou
48
16
0
08 Nov 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
53
20
0
13 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
10
36
0
05 Sep 2021
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat
Idan Schwartz
A. Schwing
Tamir Hazan
51
89
0
21 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question Answering
S. Yu
Yulei Niu
Shuohang Wang
Jing Jiang
Qianru Sun
AAML
OOD
34
9
0
12 Oct 2020
Fine-Grained Grounding for Multimodal Speech Recognition
Tejas Srinivasan
Ramon Sanabria
Florian Metze
Desmond Elliott
19
11
0
05 Oct 2020
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
AAML
29
69
0
09 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
19
94
0
09 Jul 2019
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
576
0
02 May 2018
1