Title
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine LossInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Yangyang Guo Liqiang Nie Zhiyong Cheng Feng Ji Ji Zhang Marco Bertini 137 41 0 05 May 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehiclesInternational Conference on Autonomic and Autonomous Systems (ICAAS), 2021 Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 144 1 0 01 Apr 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Helen Zhou 271 116 0 11 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology SystemsFrontiers in Digital Health (FDH), 2021 U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 171 19 0 04 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correctionComputer Vision and Pattern Recognition (CVPR), 2021 Enzo Tartaglione C. Barbano Marco Grangetto 283 137 0 02 Mar 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 397 91 0 03 Feb 2021
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach Zichen Liu Yangyang Guo Jianhua Yin Xuemeng Song Weifeng Liu Liqiang Nie 165 34 0 03 Feb 2021
Object-Centric Diagnosis of Visual Reasoning Jianwei Yang Jiayuan Mao Jiajun Wu Devi Parikh David D. Cox J. Tenenbaum Chuang Gan OCL 182 17 0 21 Dec 2020
Learning content and context with language bias for Visual Question AnsweringIEEE International Conference on Multimedia and Expo (ICME), 2020 Chao Yang Su Feng Dongsheng Li Huawei Shen Guoqing Wang Bin Jiang 148 24 0 21 Dec 2020
Overcoming Language Priors with Self-supervised Learning for Visual Question AnsweringInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Xi Zhu Zhendong Mao Chunxiao Liu Peng Zhang Bin Wang Yongdong Zhang SSL 163 132 0 17 Dec 2020
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models Linjie Li Zhe Gan Jingjing Liu VLM 241 50 0 15 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learningInternational Conference on Human Factors in Computing Systems (CHI), 2020 Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 339 19 0 10 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations Ramprasaath R. Selvaraju Karan Desai Justin Johnson Nikhil Naik SSL 157 84 0 08 Dec 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity DiscoveryKnowledge Discovery and Data Mining (KDD), 2020 Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 203 135 0 29 Nov 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their ExplanationsComputer Vision and Pattern Recognition (CVPR), 2020 Wolfgang Stammer P. Schramowski Kristian Kersting FAtt 492 126 0 25 Nov 2020
mForms : Multimodal Form-Filling with Question AnsweringInternational Conference on Language Resources and Evaluation (LREC), 2020 Larry Heck S. Heck Anirudh S. Sundar 330 7 0 24 Nov 2020
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance ViewIEEE Transactions on Image Processing (TIP), 2020 Yangyang Guo Liqiang Nie Zhiyong Cheng Q. Tian Min Zhang 327 79 0 30 Oct 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional EntropiesNeural Information Processing Systems (NeurIPS), 2020 Itai Gat Idan Schwartz Alex Schwing Tamir Hazan 238 98 0 21 Oct 2020
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved ConsistencyNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020 Sameer Dharur Purva Tendulkar Dhruv Batra Devi Parikh Ramprasaath R. Selvaraju 139 2 0 20 Oct 2020
Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding Alexander Ku Peter Anderson Roma Patel Eugene Ie Jason Baldridge 217 408 0 15 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic ForgettingInternational Conference on Learning Representations (ICLR), 2020 Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 218 51 0 04 Oct 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach Nicholas F Halliwell Freddy Lecue FAtt 203 9 0 29 Sep 2020
AiR: Attention with Reasoning CapabilityEuropean Conference on Computer Vision (ECCV), 2020 Shi Chen Ming Jiang Jinhui Yang Qi Zhao LRM 146 44 0 28 Jul 2020
Comprehensive Image Captioning via Scene Graph DecompositionEuropean Conference on Computer Vision (ECCV), 2020 Yiwu Zhong Liwei Wang Jianshu Chen Dong Yu Yin Li 223 137 0 23 Jul 2020
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question EncoderEuropean Conference on Computer Vision (ECCV), 2020 K. Gouthaman Anurag Mittal 348 88 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 206 18 0 28 Jun 2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting Corentin Dancette Rémi Cadène Xinlei Chen Matthieu Cord 199 3 0 17 Jun 2020
Estimating semantic structure for the VQA answer space Corentin Kervadec G. Antipov M. Baccouche Christian Wolf 171 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 260 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 490 476 0 08 Jun 2020
Hierarchical Class-Based Curriculum Loss Palash Goyal Shalini Ghosh 116 9 0 05 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 226 153 0 19 May 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 203 125 0 20 Apr 2020
Visual Grounding Methods for VQA are Working for the Wrong Reasons! Robik Shrestha Kushal Kafle Christopher Kanan CML 266 34 0 12 Apr 2020
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning modelsInternational Conference on Learning Representations (ICLR), 2020 Pranav Agarwal Alejandro Betancourt V. Panagiotou Natalia Díaz Rodríguez EGVM 213 11 0 26 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 351 318 0 14 Mar 2020
Explainable Deep Classification Models for Domain Generalization Andrea Zunino Sarah Adel Bargal Riccardo Volpi M. Sameki Jianming Zhang Stan Sclaroff Vittorio Murino Kate Saenko FAtt 168 45 0 13 Mar 2020
Cross-modal Learning for Multi-modal Video Categorization Palash Goyal Saurabh Sahu Shalini Ghosh Chul Lee 250 10 0 07 Mar 2020
Exploiting Temporal Coherence for Multi-modal Video Categorization Palash Goyal Saurabh Sahu Shalini Ghosh Chul Lee 130 1 0 07 Feb 2020
SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Tulio Ribeiro Besmira Nushi Ece Kamar LRM 152 14 0 20 Jan 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanationsNature Machine Intelligence (NMI), 2020 P. Schramowski Wolfgang Stammer Stefano Teso Anna Brugger Xiaoting Shao Hans-Georg Luigs Anne-Katrin Mahlein Kristian Kersting 564 240 0 15 Jan 2020
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning ModelsInformation Fusion (Inf. Fusion), 2020 Jiamei Sun Sebastian Lapuschkin Wojciech Samek Alexander Binder FAtt 571 36 0 04 Jan 2020
Connecting Vision and Language with Localized NarrativesEuropean Conference on Computer Vision (ECCV), 2019 Jordi Pont-Tuset J. Uijlings Soravit Changpinyo Radu Soricut V. Ferrari ObjD 470 285 0 06 Dec 2019
Bilinear Graph Networks for Visual Question AnsweringIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Dalu Guo Chang Xu Dacheng Tao GNN 173 67 0 23 Jul 2019
Learning to Generate Grounded Visual Captions without Localization Supervision Chih-Yao Ma Yannis Kalantidis Ghassan AlRegib Peter Vajda Marcus Rohrbach Z. Kira SSL 369 10 0 01 Jun 2019
Self-Critical Reasoning for Robust Visual Question AnsweringNeural Information Processing Systems (NeurIPS), 2019 Jialin Wu Raymond J. Mooney OOD NAI 221 170 0 24 May 2019
VQA with no questions-answers trainingComputer Vision and Pattern Recognition (CVPR), 2018 B. Vatashsky S. Ullman 208 13 0 20 Nov 2018
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 1.1K 3,780 0 02 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer Vision (IJCV), 2016 Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 896 24,018 0 07 Oct 2016