Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects

20 June 2019

Papers citing "Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects"

22 / 22 papers shown

Title
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
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 39 23 0 10 Oct 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 38 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 32 15 0 10 Mar 2022
Language bias in Visual Question Answering: A Survey and Taxonomy Desen Yuan 30 12 0 16 Nov 2021
Towards Debiasing Temporal Sentence Grounding in Video Hao Zhang Aixin Sun Wei Jing Qiufeng Wang 50 16 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 21 36 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 61 20 0 13 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 34 36 0 05 Sep 2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking Sebastian Hofstatter Aldo Lipani Sophia Althammer Markus Zlabinger Allan Hanbury 60 15 0 18 Jan 2021
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models Linjie Li Zhe Gan Jingjing Liu VLM 33 42 0 15 Dec 2020
WeaQA: Weak Supervision via Captions for Visual Question Answering Pratyay Banerjee Tejas Gokhale Yezhou Yang Chitta Baral 25 35 0 04 Dec 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 26 61 0 07 Nov 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat Idan Schwartz Alex Schwing Tamir Hazan 60 90 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 44 9 0 12 Oct 2020
Fine-Grained Grounding for Multimodal Speech Recognition Tejas Srinivasan Ramon Sanabria Florian Metze Desmond Elliott 25 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 33 145 0 19 May 2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD SSL CML 34 118 0 20 Apr 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 154 290 0 14 Mar 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 45 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 27 94 0 09 Jul 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 192 576 0 02 May 2018