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Overcoming Language Priors in Visual Question Answering with Adversarial Regularization

8 October 2018

Papers citing "Overcoming Language Priors in Visual Question Answering with Adversarial Regularization"

38 / 138 papers shown

Title
Fine-Grained Grounding for Multimodal Speech RecognitionFindings (Findings), 2020 Tejas Srinivasan Ramon Sanabria Florian Metze Desmond Elliott 138 11 0 05 Oct 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Tejas Gokhale Pratyay Banerjee Chitta Baral Yezhou Yang OOD 178 155 0 18 Sep 2020
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question EncoderEuropean Conference on Computer Vision (ECCV), 2020 K. Gouthaman Anurag Mittal 325 87 0 13 Jul 2020
$Improving VQA and its Explanations \\ by Comparing Competing Explanations$ Improving VQA and its Explanations \\ by Comparing Competing Explanations Jialin Wu Liyan Chen Raymond J. Mooney FAtt AAML 202 18 0 28 Jun 2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting Corentin Dancette Rémi Cadène Xinlei Chen Matthieu Cord 191 3 0 17 Jun 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights Shaunak Halbe 156 2 0 11 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation LearningNeural Information Processing Systems (NeurIPS), 2020 Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 346 535 0 11 Jun 2020
Estimating semantic structure for the VQA answer space Corentin Kervadec G. Antipov M. Baccouche Christian Wolf 167 5 0 10 Jun 2020
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To? Corentin Kervadec G. Antipov M. Baccouche Christian Wolf OOD 252 99 0 09 Jun 2020
Counterfactual VQA: A Cause-Effect Look at Language Bias Yulei Niu Kaihua Tang Hanwang Zhang Zhiwu Lu Xiansheng Hua Ji-Rong Wen CML 454 474 0 08 Jun 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 222 153 0 19 May 2020
Logical Natural Language Generation from Open-Domain Tables Wenhu Chen Jianshu Chen Yunde Su Zhiyu Zoey Chen William Yang Wang LMTD 249 171 0 22 Apr 2020
Learning What Makes a Difference from Counterfactual Examples and Gradient SupervisionEuropean Conference on Computer Vision (ECCV), 2020 Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD SSL CML 199 125 0 20 Apr 2020
Visual Grounding Methods for VQA are Working for the Wrong Reasons! Robik Shrestha Kushal Kafle Christopher Kanan CML 258 34 0 12 Apr 2020
An Entropy Clustering Approach for Assessing Visual Question DifficultyIEEE Access (IEEE Access), 2020 K. Terao Toru Tamaki B. Raytchev K. Kaneda Shuníchi Satoh OOD AAML 289 1 0 12 Apr 2020
Generating Rationales in Visual Question Answering Hammad A. Ayyubi Md. Mehrab Tanjim Julian McAuley G. Cottrell LRM 115 6 0 04 Apr 2020
$P $\approx$ NP, at least in Visual Question Answering$ P $\approx$ NP, at least in Visual Question AnsweringInternational Conference on Pattern Recognition (ICPR), 2020 Shailza Jolly Sebastián M. Palacio Joachim Folz Federico Raue Jörn Hees Andreas Dengel 79 0 0 26 Mar 2020
Invariant RationalizationInternational Conference on Machine Learning (ICML), 2020 Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 386 221 0 22 Mar 2020
Counterfactual Samples Synthesizing for Robust Visual Question AnsweringComputer Vision and Pattern Recognition (CVPR), 2020 Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 351 317 0 14 Mar 2020
Visual Commonsense R-CNNComputer Vision and Pattern Recognition (CVPR), 2020 Tan Wang Jianqiang Huang Hanwang Zhang Qianru Sun SSL ObjD CML 200 276 0 27 Feb 2020
Unshuffling Data for Improved GeneralizationIEEE International Conference on Computer Vision (ICCV), 2020 Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD 209 82 0 27 Feb 2020
Accuracy vs. Complexity: A Trade-off in Visual Question Answering ModelsPattern Recognition (Pattern Recognit.), 2020 M. Farazi Salman H. Khan Nick Barnes 188 18 0 20 Jan 2020
Multimodal Intelligence: Representation Learning, Information Fusion, and ApplicationsIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019 Chao Zhang Zichao Yang Xiaodong He Li Deng HAI AI4TS 283 396 0 10 Nov 2019
End-to-End Bias Mitigation by Modelling Biases in CorporaAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Rabeeh Karimi Mahabadi Yonatan Belinkov James Henderson 322 194 0 13 Sep 2019
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Arijit Ray Karan Sikka Ajay Divakaran Stefan Lee Giedrius Burachas 157 67 0 10 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset BiasesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 251 498 0 09 Sep 2019
Learning Credible Deep Neural Networks with Rationale RegularizationIndustrial Conference on Data Mining (IDM), 2019 Mengnan Du Ninghao Liu Fan Yang Helen Zhou FaML 249 47 0 13 Aug 2019
On Adversarial Removal of Hypothesis-only Bias in Natural Language InferenceInternational Workshop on Semantic Evaluation (SemEval), 2019 Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush AAML 160 73 0 09 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 225 97 0 09 Jul 2019
RUBi: Reducing Unimodal Biases in Visual Question AnsweringNeural Information Processing Systems (NeurIPS), 2019 Rémi Cadène Corentin Dancette H. Ben-younes Matthieu Cord Devi Parikh CML 266 401 0 24 Jun 2019
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects Gabriel Grand Yonatan Belinkov 172 70 0 20 Jun 2019
Self-Critical Reasoning for Robust Visual Question AnsweringNeural Information Processing Systems (NeurIPS), 2019 Jialin Wu Raymond J. Mooney OOD NAI 217 170 0 24 May 2019
Quantifying and Alleviating the Language Prior Problem in Visual Question AnsweringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019 Yangyang Guo Zhiyong Cheng Liqiang Nie Zichen Liu Yinglong Wang Mohan Kankanhalli 178 37 0 13 May 2019
Actively Seeking and Learning from Live Data Damien Teney Anton Van Den Hengel OOD 124 22 0 05 Apr 2019
Answer Them All! Toward Universal Visual Question Answering ModelsComputer Vision and Pattern Recognition (CVPR), 2019 Robik Shrestha Kushal Kafle Christopher Kanan 282 86 0 01 Mar 2019
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More GroundedIEEE International Conference on Computer Vision (ICCV), 2019 Ramprasaath R. Selvaraju Stefan Lee Yilin Shen Hongxia Jin Shalini Ghosh Larry Heck Dhruv Batra Devi Parikh FAtt VLM 255 279 0 11 Feb 2019
From Recognition to Cognition: Visual Commonsense Reasoning Rowan Zellers Yonatan Bisk Ali Farhadi Yejin Choi LRM BDL OCL ReLM 596 984 0 27 Nov 2018
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017 Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 732 5,011 0 17 Feb 2017