Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

9 September 2019

Luke Zettlemoyer

Papers citing "Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases"

28 / 128 papers shown

Title
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 26 123 0 02 Mar 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 302 1,086 0 17 Feb 2021
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach Yebin Liu Yangyang Guo Jianhua Yin Xuemeng Song Weifeng Liu Liqiang Nie 29 28 0 03 Feb 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
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? Hyunjae Kim Jaewoo Kang AI4CE 91 21 0 01 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
Posterior Differential Regularization with f-divergence for Improving Model Robustness Hao Cheng Xiaodong Liu L. Pereira Yaoliang Yu Jianfeng Gao 250 31 0 23 Oct 2020
Concealed Data Poisoning Attacks on NLP Models Eric Wallace Tony Zhao Shi Feng Sameer Singh SILM 19 18 0 23 Oct 2020
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures N. Moosavi M. Boer Prasetya Ajie Utama Iryna Gurevych 27 13 0 23 Oct 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
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 33 184 0 14 Jul 2020
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To? Corentin Kervadec G. Antipov M. Baccouche Christian Wolf OOD 21 88 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 56 395 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 33 145 0 19 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 38 7 0 12 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 36 30 0 02 May 2020
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance Prasetya Ajie Utama N. Moosavi Iryna Gurevych OODD 12 124 0 01 May 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics Junghyun Min R. Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen 30 175 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 34 118 0 20 Apr 2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data Wenhu Chen Hanwen Zha Zhiyu Zoey Chen Wenhan Xiong Hong Wang Wenjie Wang 38 294 0 15 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
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 53 23 0 05 Mar 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 36 220 0 10 Feb 2020
Stance Detection Benchmark: How Robust Is Your Stance Detection? Benjamin Schiller Johannes Daxenberger Iryna Gurevych 19 96 0 06 Jan 2020
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation Emily Dinan Angela Fan Adina Williams Jack Urbanek Douwe Kiela Jason Weston 38 206 0 10 Nov 2019