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Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

1 December 2017

Devi Parikh

Papers citing "Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering"

50 / 330 papers shown

Title
Overcoming Statistical Shortcuts for Open-ended Visual Counting Corentin Dancette Rémi Cadène Xinlei Chen Matthieu Cord 43 3 0 17 Jun 2020
Mitigating Gender Bias in Captioning Systems Ruixiang Tang Mengnan Du Yuening Li Zirui Liu Na Zou Helen Zhou FaML 151 66 0 15 Jun 2020
Estimating semantic structure for the VQA answer space Corentin Kervadec G. Antipov M. Baccouche Christian Wolf 56 4 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 90 90 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 198 404 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 123 148 0 19 May 2020
Does Data Augmentation Improve Generalization in NLP? Rohan Jha Charles Lovering Ellie Pavlick 102 10 0 30 Apr 2020
Look at the First Sentence: Position Bias in Question Answering Miyoung Ko Jinhyuk Lee Hyunjae Kim Gangwoo Kim Jaewoo Kang FaML OOD 93 100 0 30 Apr 2020
Generative Data Augmentation for Commonsense Reasoning Yiben Yang Chaitanya Malaviya Jared Fernandez Swabha Swayamdipta Ronan Le Bras Ji-ping Wang Chandra Bhagavatula Yejin Choi Doug Downey LRM 105 90 0 24 Apr 2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD SSL CML 104 119 0 20 Apr 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training Joe Stacey Pasquale Minervini Haim Dubossarsky Sebastian Riedel Tim Rocktaschel AI4CE 102 8 0 16 Apr 2020
Visual Grounding Methods for VQA are Working for the Wrong Reasons! Robik Shrestha Kushal Kafle Christopher Kanan CML 77 35 0 12 Apr 2020
An Entropy Clustering Approach for Assessing Visual Question Difficulty K. Terao Toru Tamaki B. Raytchev K. Kaneda Shuníchi Satoh OOD AAML 67 1 0 12 Apr 2020
$P $\approx$ NP, at least in Visual Question Answering$ P $\approx$ NP, at least in Visual Question Answering Shailza Jolly Sebastián M. Palacio Joachim Folz Federico Raue Jörn Hees Andreas Dengel 31 0 0 26 Mar 2020
Linguistically Driven Graph Capsule Network for Visual Question Reasoning Qingxing Cao Xiaodan Liang Keze Wang Liang Lin GNN 61 3 0 23 Mar 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 264 207 0 22 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 106 157 0 16 Mar 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 229 294 0 14 Mar 2020
Deconfounded Image Captioning: A Causal Retrospect Xu Yang Hanwang Zhang Jianfei Cai CML 79 127 0 09 Mar 2020
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions Yitong Li Dianqi Li Sushant Prakash Peng Wang 68 2 0 02 Mar 2020
Unbiased Scene Graph Generation from Biased Training Kaihua Tang Yulei Niu Jianqiang Huang Jiaxin Shi Hanwang Zhang CML 131 703 0 27 Feb 2020
Unshuffling Data for Improved Generalization Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD 77 78 0 27 Feb 2020
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering Xinyu Wang Yuliang Liu Chunhua Shen Chun Chet Ng Canjie Luo Lianwen Jin C. Chan Anton Van Den Hengel Liangwei Wang 121 97 0 24 Feb 2020
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models M. Farazi Salman H. Khan Nick Barnes 83 18 0 20 Jan 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 68 14 0 20 Jan 2020
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models Jiamei Sun Sebastian Lapuschkin Wojciech Samek Alexander Binder FAtt 110 30 0 04 Jan 2020
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Daniel Keysers Nathanael Scharli Nathan Scales Hylke Buisman Daniel Furrer ... Tibor Tihon Dmitry Tsarkov Tianlin Li Marc van Zee Olivier Bousquet CoGe 88 355 0 20 Dec 2019
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Vedika Agarwal Rakshith Shetty Mario Fritz CML AAML 125 159 0 16 Dec 2019
Assessing the Robustness of Visual Question Answering Models Jia-Hong Huang Modar Alfadly Guohao Li Marcel Worring AAML OOD 108 24 0 30 Nov 2019
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines Jingxiang Lin Unnat Jain Alex Schwing LRM ReLM 105 9 0 31 Oct 2019
Multi-modal Deep Analysis for Multimedia Wenwu Zhu Xin Eric Wang Hongzhi Li 76 43 0 11 Oct 2019
Learning De-biased Representations with Biased Representations Hyojin Bahng Sanghyuk Chun Sangdoo Yun Jaegul Choo Seong Joon Oh OOD 437 284 0 07 Oct 2019
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints Damien Teney Ehsan Abbasnejad Anton Van Den Hengel NAI 105 9 0 30 Sep 2019
Compact Trilinear Interaction for Visual Question Answering Tuong Khanh Long Do Thanh-Toan Do Huy Tran Erman Tjiputra Quang-Dieu Tran 62 59 0 26 Sep 2019
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 401 949 0 24 Sep 2019
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering Heather Riley Mohan Sridharan NAI 61 0 0 23 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 145 469 0 09 Sep 2019
Learning Credible Deep Neural Networks with Rationale Regularization Mengnan Du Ninghao Liu Fan Yang Helen Zhou FaML 105 46 0 13 Aug 2019
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition Kaiyu Yang Olga Russakovsky Jia Deng 3DPC 99 63 0 07 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 631 3,722 0 06 Aug 2019
Answering Questions about Data Visualizations using Efficient Bimodal Fusion Kushal Kafle Robik Shrestha Brian L. Price Scott D. Cohen Christopher Kanan 74 60 0 05 Aug 2019
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices Damien Teney Peng Wang Jiewei Cao Lingqiao Liu Chunhua Shen Anton Van Den Hengel 77 31 0 29 Jul 2019
Bilinear Graph Networks for Visual Question Answering Dalu Guo Chang Xu Dacheng Tao GNN 93 54 0 23 Jul 2019
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods Aditya Mogadala M. Kalimuthu Dietrich Klakow VLM 148 136 0 22 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 115 95 0 09 Jul 2019
Learning by Abstraction: The Neural State Machine Drew A. Hudson Christopher D. Manning NAI OCL 165 262 0 09 Jul 2019
ICDAR 2019 Competition on Scene Text Visual Question Answering Ali Furkan Biten Rubèn Pérez Tito Andrés Mafla Lluís Gómez Marçal Rusiñol Minesh Mathew C. V. Jawahar Ernest Valveny Dimosthenis Karatzas 83 76 0 30 Jun 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering Rémi Cadène Corentin Dancette H. Ben-younes Matthieu Cord Devi Parikh CML 104 375 0 24 Jun 2019
Investigating Biases in Textual Entailment Datasets Shawn Tan Songlin Yang Chin-Wei Huang Aaron Courville 66 8 0 23 Jun 2019
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects Gabriel Grand Yonatan Belinkov 116 68 0 20 Jun 2019