Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles

7 November 2020

Christopher Clark

Luke Zettlemoyer

Papers citing "Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles"

16 / 16 papers shown

Title
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 39 73 0 07 Jun 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 37 21 0 24 May 2023
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis Oscar Chew Hsuan-Tien Lin Kai-Wei Chang Kuan-Hao Huang 34 5 0 23 May 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 34 1 0 22 Feb 2023
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics David M. Chan Austin Myers Sudheendra Vijayanarasimhan David A. Ross Bryan Seybold John F. Canny 28 6 0 12 May 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 33 13 0 05 Apr 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 120 72 0 14 Oct 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 61 35 0 09 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
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 39 42 0 24 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 121 0 16 Jul 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 25 87 0 12 May 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 2021
How to Train BERT with an Academic Budget Peter Izsak Moshe Berchansky Omer Levy 17 113 0 15 Apr 2021
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016